| 510 |
Forest Disturbance Detection via Self-supervised and Transfer Learning with Sentinel-1&2 Images |
IEEE JSTARS |
2024 |
Codes |
Self-Supervised |
Reconstruction |
MSI (S2) |
MR |
|
Classification |
| 509 |
Forest Disturbance Detection via Self-supervised and Transfer Learning with Sentinel-1&2 Images |
IEEE JSTARS |
2024 |
Codes |
Self-Supervised |
Contrastive |
Multisensor (S1&S2) |
MR |
|
Forest Change |
| 508 |
Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series |
ISPRS J |
2024 |
Codes |
Self-Supervised |
Contrastive |
MSI |
MR |
|
Crop classification |
| 507 |
Deep Active Learning for Multi-Label Classification of Remote Sensing Images |
IEEE GRSL |
2023 |
|
Semi-Supervised (Active) |
Hybrid (BCE+[Multilabel uncertainty]) |
RGB |
VHR |
|
Multi-label classification |
| 506 |
Near Real-Time Flood Mapping with Weakly Supervised Machine Learning |
Remote Sensing |
2023 |
Codes |
Weakly Supervised |
|
RGB-IR |
HR |
|
Flood |
| 505 |
Hypergraph Regularized Deep Autoencoder for Unsupervised Unmixing HSI Images |
Journal of Donghua University (English Edition) |
2022 |
|
unsupervised |
|
HSI |
|
|
Unmixing |
| 504 |
Image restoration for optical synthetic aperture system via patched maximum–minimum intensity prior and unsupervised DenoiseNet |
Optics Communications |
2022 |
|
unsupervised |
|
|
|
|
Denoising |
| 503 |
Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data |
IEEE GRSL |
2022 |
|
unsupervised |
|
|
|
|
Denoising |
| 502 |
Noisy2Noisy: Denoise Pre-Stack Seismic Data Without Paired Training Data with Labels |
IEEE GRSL |
2022 |
|
unsupervised |
|
|
|
|
Denoising |
| 501 |
HSI Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior |
IEEE TGRS |
2022 |
|
unsupervised |
|
HSI |
|
|
Denoising |
| 500 |
Self-Supervised Denoising for Real Satellite HSI Imagery |
Remote Sensing |
2022 |
|
self supervised |
|
HSI |
|
|
Denoising |
| 499 |
Multi-scale detail injection-based improved generative adversarial networks for pansharpening |
T&F IJRS |
2022 |
|
unsupervised |
|
multisprctral |
|
|
Super resolution |
| 498 |
Unsupervised Pansharpening Method Using Residual Network With Spatial Texture Attention |
IEEE TGRS |
2022 |
|
unsupervised |
|
multisprctral |
HR |
|
Super resolution |
| 497 |
Superpixel Consistency Saliency Map Generation for Weakly Supervised Semantic Segmentation of Remote Sensing Images |
IEEE TGRS |
2022 |
|
Weakly Supervised |
|
|
|
|
Super resolution |
| 496 |
Cross-Resolution Semi-Supervised Adversarial Learning for Pansharpening |
IEEE TGRS |
2022 |
Codes |
semi supervised |
|
multisprctral |
HR |
|
Super resolution |
| 495 |
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution |
IEEE JSTARS |
2022 |
Codes |
unsupervised |
|
multisprctral |
LR |
|
Super resolution |
| 494 |
Unsupervised stepwise extraction of offshore aquaculture ponds using super-resolution HSI images |
JAG |
2022 |
|
unsupervised |
|
HSI |
|
|
Super resolution |
| 493 |
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution |
Information Fusion |
2022 |
Codes |
self supervised |
|
RGB |
VHR |
|
Super resolution |
| 492 |
A Novel End-to-End Unsupervised Change Detection Method with Self-Adaptive Superpixel Segmentation for SAR Images |
Remote Sensing |
2022 |
|
unsupervised |
|
SAR |
|
|
change detection/Super resolution |
| 491 |
A continual learning-guided training framework for pansharpening |
ISPRS J |
2022 |
|
unsupervised |
|
multisprctral |
HR |
|
Super resolution |
| 490 |
W-NetPan: Double-U network for inter-sensor self-supervised pan-sharpening |
Neurocomputing |
2022 |
Codes |
self supervised |
|
multisprctral |
MR |
|
Super resolution |
| 489 |
Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening |
IEEE TGRS |
2022 |
|
unsupervised |
|
multisprctral |
|
|
Super resolution |
| 488 |
A Closed-Loop Network for Single Infrared Remote Sensing Image Super-Resolution in Real World |
Remote Sensing |
2022 |
|
Transfer Learning |
|
multisprctral |
MR |
|
Super resolution |
| 487 |
Multiscale Spatial Fusion and Regularization Induced Unsupervised Auxiliary Task CNN Model for Deep Super-Resolution of HSI Images |
IEEE JSTARS |
2022 |
|
unsupervised |
|
HSI |
|
|
Super resolution |
| 486 |
Super-resolution domain adaptation networks for semantic segmentation via pixel and output level aligning |
Frontiers in Earth Science |
2022 |
Codes |
Transfer Learning |
|
RGB |
VHR |
|
classification/Super resolution |
| 485 |
FloU-Net: An Optical Flow Network for Multimodal Self-Supervised Image Registration |
IEEE GRSL |
2022 |
Codes |
self supervised |
|
multi-sensor |
MR |
|
Registration |
| 484 |
Remote Sensing Image Registration Based upon Extensive Convolutional Architecture with Transfer Learning and Network Pruning |
IEEE TGRS |
2022 |
|
Transfer Learning |
|
|
|
|
Registration |
| 483 |
Distinguishable keypoint detection and matching for optical satellite images with deep convolutional neural networks |
JAG |
2022 |
|
self supervised |
|
MSI |
MR |
|
Registration |
| 482 |
MID: A Novel Mountainous Remote Sensing Imagery Registration Dataset Assessed by a Coarse-to-Fine Unsupervised Cascading Network |
Remote Sensing |
2022 |
|
unsupervised |
|
|
|
|
Registration |
| 481 |
Self-Supervised Keypoint Detection and Cross-Fusion Matching Networks for Multimodal Remote Sensing Image Registration |
Remote Sensing |
2022 |
|
self supervised |
|
multi-sensor |
|
|
Registration |
| 480 |
Deep HSI and MSI Image Fusion With Inter-Image Variability |
IEEE TGRS |
2022 |
Codes |
unsupervised |
|
multi-sensor |
|
|
Fusion |
| 479 |
Dual-Task Interactive Learning for Unsupervised Spatio-Temporal-Spectral Fusion of Remote Sensing Images |
IEEE TGRS |
2022 |
|
unsupervised |
|
|
|
|
Fusion |
| 478 |
Unsupervised Deep Tensor Network for HSI–MSI Image Fusion |
IEEE TNNLS |
2022 |
|
unsupervised |
|
multi-sensor |
|
|
Fusion |
| 477 |
A Triplet Semisupervised Deep Network for Fusion Classification of HSI and LiDAR Data |
IEEE TGRS |
2022 |
|
semi supervised |
|
multi-sensor |
|
|
Classification/Fusion |
| 476 |
A generative model method for unsupervised MSI image fusion in remote sensing |
Signal, Image and Video Processing |
2022 |
|
unsupervised |
|
MSI |
|
|
Fusion |
| 475 |
An Unsupervised Cascade Fusion Network for Radiometrically-Accurate Vis-NIR-SWIR HSI Sharpening |
Remote Sensing |
2022 |
|
unsupervised |
|
multi-sensor |
MR |
|
Fusion |
| 474 |
MUSTFN: A spatiotemporal fusion method for multi-scale and multi-sensor remote sensing images based on a convolutional neural network |
JAG |
2022 |
Codes |
Transfer Learning |
|
MSI |
MR |
cloud |
Fusion |
| 473 |
Traffic Anomaly Detection Using Deep Semi-Supervised Learning at the Mobile Edge |
IEEE Transactions on Vehicular Technology |
2022 |
|
semi supervised |
|
|
|
|
Anomaly detection |
| 472 |
Unsupervised Anomaly and Change Detection With Multivariate Gaussianization |
IEEE TGRS |
2022 |
|
unsupervised |
|
|
|
|
change detection/Anomaly detection |
| 471 |
Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for HSI Anomaly Detection |
IEEE TNNLS |
2022 |
|
Weakly Supervised |
|
HSI |
|
|
Anomaly detection |
| 470 |
Knowledge distillation: A novel approach for deep feature selection |
Egyptian Journal of Remote Sensing and Space Science |
2022 |
|
unsupervised |
|
HSI |
|
|
dimension reduction |
| 469 |
UFS-LSTM: unsupervised feature selection with long short-term memory network for remote sensing scene classification |
Evolutionary Intelligence |
2022 |
|
unsupervised |
|
RGB |
HR |
|
classification/dimension reduction |
| 468 |
A triplet graph convolutional network with attention and similarity-driven dictionary learning for remote sensing image retrieval |
Expert Systems with Applications |
2022 |
|
unsupervised |
|
|
HR |
|
dimension reduction |
| 467 |
Unsupervised HSI band selection with deep autoencoder unmixing |
International Journal of Image and Data Fusion |
2022 |
|
unsupervised |
|
HSI |
|
|
dimension reduction/unmixing |
| 466 |
Novel Gumbel-Softmax Trick Enabled Concrete Autoencoder with Entropy Constraints for Unsupervised HSI Band Selection |
IEEE TGRS |
2022 |
|
unsupervised |
|
HSI |
|
|
dimension reduction |
| 465 |
Spectral-Spatial Classification of Few Shot HSI Image With Deep 3-D Convolutional Random Fourier Features Network |
IEEE TGRS |
2022 |
|
Transfer Learning |
|
HSI |
|
|
classification/dimension reduction |
| 464 |
Built-Up Area Change Detection Using Multi-Task Network with Object-Level Refinement |
Remote Sensing |
2022 |
Codes |
|
|
|
|
|
change detection/dimension reduction |
| 463 |
MS2A-Net: Multiscale Spectral-Spatial Association Network for HSI Image Clustering |
IEEE JSTARS |
2022 |
|
unsupervised |
|
HSI |
|
|
dimension reduction |
| 462 |
Unsupervised deep learning of landscape typologies from remote sensing images and other continuous spatial data |
Environmental Modelling and Software |
2022 |
Codes |
unsupervised |
|
MSI |
MR |
|
dimension reduction |
| 461 |
Deep Contrastive Self-Supervised Hashing for Remote Sensing Image Retrieval |
Remote Sensing |
2022 |
|
Self-Supervised |
|
RGB |
HR |
|
dimension reduction |
| 460 |
AICCA: AI-Driven Cloud Classification Atlas |
Remote Sensing |
2022 |
|
unsupervised |
|
MSI |
MR |
cloud |
classification/dimension reduction |
| 459 |
Stochastic gate-based autoencoder for unsupervised HSI band selection |
Pattern Recognition |
2022 |
|
unsupervised |
|
HSI |
|
|
dimension reduction |
| 458 |
Application of HSI imaging and deep learning for robust prediction of sugar and ph levels in wine grape berries |
Sensors |
2021 |
|
Transfer |
MSE |
HSI |
VHR |
agriculture |
Regression |
| 457 |
Deep transfer learning for land use and land cover classification: A comparative study |
Sensors |
2021 |
Codes |
Transfer |
CE |
MSI |
HR |
Varied |
Classification |
| 456 |
Deep Learning Approach for Detection of Underground Natural Gas Micro-Leakage Using Infrared Thermal Images |
Sensors |
2022 |
|
Transfer |
CE |
Thermal |
VHR |
agriculture |
target detection |
| 455 |
A New SCAE-MT Classification Model for HSI Remote Sensing Images |
Sensors |
2022 |
|
self supervised |
CE |
HSI |
VHR |
agriculture |
Classification |
| 454 |
Enhanced Semantic Information Transfer of Multi-Domain Samples: An Adversarial Edge Detection Method Using Few High-Resolution Remote Sensing Images |
Sensors |
2022 |
Codes |
Weakly supervised |
CE |
RGB |
VHR |
Varied |
Edge Detection |
| 453 |
A new super resolution framework based on multi-task learning for remote sensing images |
Sensors |
2021 |
|
unsupervised |
L1 |
RGB |
VHR |
Urban |
Classification |
| 452 |
DSFA: cross-scene domain style and feature adaptation for landslide detection from high spatial resolution images |
International Journal of Digital Earth |
2022 |
|
Transfer Learning |
|
|
|
|
Target detection |
| 451 |
HSI anomaly detection: a performance comparison of existing techniques |
International Journal of Digital Earth |
2022 |
|
|
|
HSI |
|
|
AD |
| 450 |
HSI anomaly detection with vision transformer and adversarial refinement |
T&F IJRS |
2022 |
|
unsupervised |
|
HSI |
|
|
AD |
| 449 |
An unsupervised heterogeneous change detection method based on image translation network and post-processing algorithm |
International Journal of Digital Earth |
2022 |
|
Transfer Learning |
|
|
|
|
Change detection |
| 448 |
HSI anomaly detection based on score-guided cooperative autoencoders |
T&F IJRS |
2022 |
|
Self-Supervised |
|
HSI |
|
|
AD |
| 447 |
HSI anomaly detection based on adaptive weighting method combined with autoencoder and convolutional neural network |
T&F IJRS |
2022 |
|
|
|
HSI |
|
|
AD |
| 446 |
Self-paced collaborative representation with manifold weighting for HSI anomaly detection |
T&F RSL |
2022 |
|
unsupervised |
|
HSI |
|
|
AD |
| 445 |
Nonnegative collaborative representation for HSI anomaly detection |
T&F RSL |
2022 |
|
|
|
HSI |
|
|
AD |
| 444 |
Hybrid DNN-Dirichlet Anomaly Detection and Ranking: Case of Burned Areas Discovery |
IEEE TGRS |
2022 |
|
Self-Supervised |
|
MSI |
MR |
|
AD |
| 443 |
Tree Species Classification Using High-Resolution Satellite Imagery and Weakly Supervised Learning |
IEEE TGRS |
2022 |
|
Weakly Supervised |
|
MSI |
HR |
|
Classification |
| 442 |
Enhanced Resolution of FY4 Remote Sensing Visible Spectrum Images Utilizing Super-Resolution and Transfer Learning Techniques |
IEEE JSTARS |
2022 |
|
Transfer Learning |
|
MSI |
|
|
Super resolution |
| 441 |
A Total Variation Regularized Bipartite Network for Unsupervised Change Detection |
IEEE TGRS |
2022 |
|
unsupervised |
|
|
|
|
Change detection |
| 440 |
A 3-D-Swin Transformer-Based Hierarchical Contrastive Learning Method for HSI Image Classification |
IEEE TGRS |
2022 |
|
Self-Supervised |
|
HSI |
|
|
Classification |
| 439 |
Grouped Subspace Linear Semantic Alignment for HSI Image Transfer Learning |
IEEE TGRS |
2022 |
|
Transfer Learning |
|
HSI |
|
|
Classification |
| 438 |
MS$^{2}$A-Net: Multiscale Spectral–Spatial Association Network for HSI Image Clustering |
IEEE JSTARS |
2022 |
Codes |
unsupervised |
|
HSI |
|
|
Classification |
| 437 |
Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection |
IEEE TGRS |
2022 |
Codes |
Self-Supervised |
|
RGB |
HR |
|
Change Detection |
| 436 |
IDUDL: Incremental Double Unsupervised Deep Learning Model for Marine Aquaculture SAR Images Segmentation |
IEEE TGRS |
2022 |
|
unsupervised |
|
SAR |
MR |
|
Classification |
| 435 |
Self-Supervised Feature Representation and Few-Shot Land Cover Classification of Multimodal Remote Sensing Images |
IEEE TGRS |
2022 |
|
Transfer Learning |
|
Multi-sensor |
|
|
Classification |
| 434 |
Weakly Supervised Region of Interest Extraction Based on Uncertainty-Aware Self-Refinement Learning for Remote Sensing Images |
IEEE TGRS |
2022 |
|
Weakly Supervised |
|
|
|
|
Change Detection |
| 433 |
A Self-Supervised Approach to Pixel-Level Change Detection in Bi-Temporal RS Images |
IEEE TGRS |
2022 |
|
Self-Supervised |
hybrid |
MSI |
MR |
|
Change Detection |
| 432 |
Generative Adversarial Networks Under CutMix Transformations for Multimodal Change Detection |
IEEE GRSL |
2022 |
|
unsupervised |
|
|
|
|
Change Detection |
| 431 |
Reliable Contrastive Learning for Semi-Supervised Change Detection in Remote Sensing Images |
IEEE TGRS |
2022 |
Codes |
Semi supervised |
|
|
|
|
Change Detection |
| 430 |
DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications |
IEEE Transactions on Vehicular Technology |
2022 |
|
Semi supervised |
|
RGB |
VHR |
|
Classification |
| 429 |
MAGE: Multisource Attention Network With Discriminative Graph and Informative Entities for Classification of HSI and LiDAR Data |
IEEE TGRS |
2022 |
Codes |
Semi supervised |
|
Multi-sensor |
VHR |
Urban |
Classification |
| 428 |
Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images |
IEEE TIP |
2022 |
Codes |
Weakly Supervised |
|
|
|
|
Classification |
| 427 |
Semantic Segmentation of Remote Sensing Images With Self-Supervised Semantic-Aware Inpainting |
IEEE GRSL |
2022 |
Codes |
Self-Supervised |
|
|
|
|
Classification |
| 426 |
Global GDP Prediction With Night-Lights and Transfer Learning |
IEEE JSTARS |
2022 |
|
Transfer Learning |
|
|
|
|
Regression |
| 425 |
A Superpixel-Guided Unsupervised Fast Semantic Segmentation Method of Remote Sensing Images |
IEEE GRSL |
2022 |
|
unsupervised |
|
|
|
|
Classification/super resolution |
| 424 |
PANet: Pixelwise Affinity Network for Weakly Supervised Building Extraction From High-Resolution Remote Sensing Images |
IEEE GRSL |
2022 |
|
Weakly Supervised |
|
RGB |
VHR |
Urban |
target detection |
| 423 |
Structure-Aware Weakly Supervised Network for Building Extraction From Remote Sensing Images |
IEEE TGRS |
2022 |
|
Weakly Supervised |
Hybrid |
RGB |
VHR |
Urban |
target detection |
| 422 |
Offshore Petroleum Leaking Source Detection Method From Remote Sensing Data via Deep Reinforcement Learning With Knowledge Transfer |
IEEE JSTARS |
2022 |
|
Transfer Learning |
|
SAR |
|
|
target detection |
| 421 |
Semi-Active Convolutional Neural Networks for HSI Image Classification |
IEEE TGRS |
2022 |
|
semi supervised |
|
HSI |
|
|
Classification |
| 420 |
Deep SURE for Unsupervised Remote Sensing Image Fusion |
IEEE TGRS |
2022 |
Codes |
unsupervised |
Hybrid |
Multi-sensor |
|
|
fusion |
| 419 |
GSCCTL: a general semi-supervised scene classification method for remote sensing images based on clustering and transfer learning |
T&F IJRS |
2022 |
|
semi supervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 418 |
MSG-SR-Net: A Weakly Supervised Network Integrating Multiscale Generation and Superpixel Refinement for Building Extraction from High-Resolution Remotely Sensed Imageries |
IEEE JSTARS |
2022 |
|
Weakly Supervised |
CE |
RGB |
VHR |
Urban |
target detection/super resolution |
| 417 |
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework |
IEEE TGRS |
2022 |
Codes |
unsupervised |
Hybrid |
MSI |
VHR |
Urban |
Super resolution |
| 416 |
Two-Stage Cross-Modality Transfer Learning Method for Military-Civilian SAR Ship Recognition |
IEEE GRSL |
2022 |
|
Transfer Learning |
Hybrid |
SAR |
VHR |
water |
target detection |
| 415 |
DisOptNet: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation |
IEEE TGRS |
2022 |
Codes |
Transfer Learning |
Hybrid |
Multi-sensor |
VHR |
Urban |
Classification |
| 414 |
An Unsupervised Laplacian Pyramid Network for Radiometrically Accurate Data Fusion of HSI and MSI Imagery |
IEEE TGRS |
2022 |
|
unsupervised |
Hybrid |
Multi-sensor |
|
|
Fusion |
| 413 |
Meta-Learning Based HSI Target Detection Using Siamese Network |
IEEE TGRS |
2022 |
|
Transfer Learning |
Hybrid |
HSI |
|
|
target detection |
| 412 |
Bounding Box-Free Instance Segmentation Using Semi-Supervised Iterative Learning for Vehicle Detection |
IEEE JSTARS |
2022 |
|
semi supervised |
CE |
RGB |
VHR |
Urban |
target detection |
| 411 |
Semantic Segmentation of Terrestrial Laser Scanning Point Clouds Using Locally Enhanced Image-Based Geometric Representations |
IEEE TGRS |
2022 |
|
Transfer Learning |
Other |
Lidar |
VHR |
Urban |
Classification |
| 410 |
Siamese Detail Difference and Self-Inverse Network for Forest Cover Change Extraction Based on Landsat 8 OLI Satellite Images |
Remote Sensing |
2022 |
|
Transfer Learning |
|
MSI |
MR |
Forest |
Change Detection |
| 409 |
SRSe-Net: Super-Resolution-Based Semantic Segmentation Network for Green Tide Extraction |
Remote Sensing |
2022 |
|
Transfer Learning |
MSE |
MSI |
LR |
Water |
target detection/super resolution |
| 408 |
ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery |
Remote Sensing |
2022 |
Codes |
semi supervised |
Hybrid |
HSI |
VHR |
Urban |
Classification |
| 407 |
Mapping of Dwellings in IDP/Refugee Settlements from Very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network |
Remote Sensing |
2022 |
|
Transfer Learning |
Hybrid |
MSI |
VHR |
Urban |
target detection |
| 406 |
Built-Up Area Change Detection Using Multi-Task Network with Object-Level Refinement |
Remote Sensing |
2022 |
Codes |
Transfer Learning |
CE |
RGB |
VHR |
Urban |
Change Detection |
| 405 |
RSMT: A Remote Sensing Image-to-Map Translation Model via Adversarial Deep Transfer Learning |
Remote Sensing |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
|
Urban |
Classification |
| 404 |
Graph-Based Embedding Smoothing Network for Few-Shot Scene Classification of Remote Sensing Images |
Remote Sensing |
2022 |
|
Transfer Learning |
CE |
RGB |
|
|
Classification |
| 403 |
A novel unsupervised binary change detection method for VHR optical remote sensing imagery over urban areas |
JAG |
2022 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
Change Detection |
| 402 |
HSI Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning |
Remote Sensing |
2022 |
Codes |
Transfer Learning |
CE |
HSI |
|
|
Classification/fusion |
| 401 |
Unsupervised Data Fusion with Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm |
IEEE JSTARS |
2022 |
Codes |
unsupervised |
Hybrid |
Multi-sensor |
|
|
Fusion |
| 400 |
Automated Geological Landmarks Detection on Mars Using Deep Domain Adaptation From Lunar High-Resolution Satellite Images |
IEEE JSTARS |
2022 |
|
Transfer Learning |
Hybrid |
|
VHR |
|
target detection |
| 399 |
Unsupervised Balanced Hash Codes Learning With Multichannel Feature Fusion |
IEEE JSTARS |
2022 |
|
unsupervised |
Hybrid |
Multi-sensor |
|
|
Regression |
| 398 |
Improved semi-supervised UNet deep learning model for forest height mapping with satellite SAR and optical data |
IEEE JSTARS |
2022 |
Codes |
semi supervised |
MSE |
Multi-sensor |
MR |
Forest |
Regression |
| 397 |
Which CAM is Better for Extracting Geographic Objects? A Perspective from Principles and Experiments |
IEEE JSTARS |
2022 |
|
Weakly Supervised |
CE |
RGB |
|
|
Classification |
| 396 |
FMWDCT: Foreground Mixup into Weighted Dual-network Cross Training for Semi-supervised Remote Sensing Road Extraction |
IEEE JSTARS |
2022 |
|
semi supervised |
Hybrid |
RGB |
|
Urban |
target detection |
| 395 |
RFA-Net: Reconstructed Feature Alignment Network for Domain Adaptation Object Detection in Remote Sensing Imagery |
IEEE JSTARS |
2022 |
|
Transfer Learning |
Contrastive |
RGB |
|
|
target detection |
| 394 |
A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow-and Ice-Covered Regions |
Remote Sensing |
2022 |
Codes |
Semi Supervised |
CE |
MSI |
MR |
Snow-cloud-shadow |
Classification |
| 393 |
EfficientUNet+: A Building Extraction Method for Emergency Shelters Based on Deep Learning |
Remote Sensing |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
VHR |
Urban |
target detection |
| 392 |
Class-Shared SparsePCA for Few-Shot Remote Sensing Scene Classification |
Remote Sensing |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
VHR |
|
Classification |
| 391 |
Research on Automatic Identification Method of Terraces on the Loess Plateau Based on Deep Transfer Learning |
Remote Sensing |
2022 |
|
Transfer Learning |
CE |
MSI |
VHR |
Forest |
target detection |
| 390 |
Remote Sensing Change Detection Based on Unsupervised Multi-Attention Slow Feature Analysis |
Remote Sensing |
2022 |
|
unsupervised |
Hybrid |
RGB |
VHR |
|
Change Detection |
| 389 |
AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data |
Remote Sensing |
2022 |
|
Weakly Supervised |
Other |
MSI |
MR |
Water |
Classification |
| 388 |
Object Localization in Weakly Labeled Remote Sensing Images Based on Deep Convolutional Features |
Remote Sensing |
2022 |
|
Weakly Supervised |
|
RGB |
VHR |
|
target detection |
| 387 |
Classification of Heterogeneous Mining Areas Based on ResCapsNet and Gaofen-5 Imagery |
Remote Sensing |
2022 |
|
Transfer Learning |
Other |
HSI |
MR |
|
Classification |
| 386 |
Reliable Label-Supervised Pixel Attention Mechanism for Weakly Supervised Building Segmentation in UAV Imagery |
Remote Sensing |
2022 |
|
Weakly Supervised |
Hybrid |
RGB |
VHR |
Urban |
Classification |
| 385 |
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions |
JAG |
2022 |
|
Transfer Learning |
CE |
Multi-sensor |
HR |
Forest |
Fusion |
| 384 |
Fusing Earth observation and socioeconomic data to increase the transferability of large-scale urban land use classification |
RSE |
2022 |
Codes |
Transfer Learning |
CE |
Multi-sensor |
MR |
Urban |
Classification/Fusion |
| 383 |
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing |
IEEE JSTARS |
2022 |
Codes |
semi supervised |
Hybrid |
RGB |
VHR |
|
Classification |
| 382 |
Transferring Transformer-Based Models for Cross-Area Building Extraction From Remote Sensing Images |
IEEE JSTARS |
2022 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
target detection |
| 381 |
Multisource Domain Transfer Learning Based on Spectral Projections for HSI Image Classification |
IEEE JSTARS |
2022 |
|
Transfer Learning |
CE |
HSI |
|
|
Classification |
| 380 |
Aerial Photograph Categorization by Cross-Resolution Deep Human Gaze Behavior Learning |
IEEE JSTARS |
2022 |
|
semi supervised |
Other |
RGB |
|
|
Classification |
| 379 |
SAR Image Change Detection Based on Semisupervised Learning and Two-Step Training |
IEEE GRSL |
2022 |
|
semi supervised |
|
SAR |
MR |
agriculture |
Change Detection |
| 378 |
The Application of Semisupervised Attentional Generative Adversarial Networks in Desert Seismic Data Denoising |
IEEE GRSL |
2022 |
|
semi supervised |
contrastive |
|
|
|
Denoising |
| 377 |
Semisupervised Spectral Degradation Constrained Network for Spectral Super-Resolution |
IEEE GRSL |
2022 |
|
semi supervised |
Hybrid |
HSI |
MR |
Urban |
Super resolution |
| 376 |
Novel Gumbel-Softmax Trick Enabled Concrete Autoencoder with Entropy Constraints for Unsupervised HSI Band Selection |
IEEE TGRS |
2022 |
|
unsupervised |
Reconstruction |
HSI |
MR |
Urban |
dimension reduction |
| 375 |
Improved method to detect the tailings ponds from MSI remote sensing images based on faster r-cnn and transfer learning |
Remote Sensing |
2022 |
|
Transfer Learning |
Hybrid |
MSI |
VHR |
Wetland |
target detection |
| 374 |
Semi-supervised sar target detection based on an improved faster r-cnn |
Remote Sensing |
2022 |
|
semi supervised |
Hybrid |
SAR |
VHR |
Urban |
target detection |
| 373 |
BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images |
Remote Sensing |
2022 |
|
unsupervised |
contrastive |
RGB |
MR |
Urban |
Classification |
| 372 |
Pansharpening via Super-Resolution Iterative Residual Network with a Cross-Scale Learning Strategy |
IEEE TGRS |
2022 |
|
unsupervised |
Similarity |
MSI |
VHR |
Urban |
Super resolution |
| 371 |
Improved Active Deep Learning for Semi-Supervised Classification of HSI Image |
Remote Sensing |
2022 |
|
semi supervised |
Hybrid |
HSI |
MR |
agriculture |
Classification |
| 370 |
ALPN: Active-Learning-Based Prototypical Network for Few-Shot HSI Imagery Classification |
IEEE GRSL |
2022 |
|
semi supervised |
CE |
HSI |
MR |
agriculture |
Classification |
| 369 |
Guiding Labelling Effort for Efficient Learning With Georeferenced Images |
IEEE TPAMI |
2022 |
|
semi supervised |
Reconstruction |
Multi-sensor |
VHR |
|
Classification |
| 368 |
Transfer Learning for Improving Seismic Building Damage Assessment |
Remote Sensing |
2022 |
Codes |
Transfer Learning |
|
RGB |
VHR |
Urban |
Target detection |
| 367 |
Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations |
ISPRS International Journal of Geo-Information |
2022 |
|
unsupervised |
Contrastive |
RGB |
VHR |
Urban |
Classification |
| 366 |
Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network |
IEEE TNNLS |
2022 |
|
unsupervised |
Reconstruction |
RGB |
VHR |
Urban |
Classification |
| 365 |
Deep Autoencoder for HSI Unmixing via Global-Local Smoothing |
IEEE TGRS |
2022 |
|
unsupervised |
Hybrid |
HSI |
MR |
|
Unmixing |
| 364 |
A Semisupervised Convolution Neural Network for Partial Unlabeled Remote-Sensing Image Segmentation |
IEEE GRSL |
2022 |
|
semi supervised |
Hybrid |
RGB |
VHR |
Urban |
Classification |
| 363 |
Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning |
IEEE TGRS |
2022 |
|
semi supervised |
CE |
Multi-sensor |
MR |
|
Classification |
| 362 |
Unsupervised Single-Scene Semantic Segmentation for Earth Observation |
IEEE TGRS |
2022 |
|
unsupervised |
Hybrid |
RGB |
VHR |
Urban |
Classification |
| 361 |
UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images |
IEEE TGRS |
2022 |
Codes |
unsupervised |
CE |
MSI |
MR |
Urban |
Change Detection |
| 360 |
Mapping Temporary Slums From Satellite Imagery Using a Semi-Supervised Approach |
IEEE GRSL |
2022 |
|
semi supervised |
Hybrid |
RGB |
VHR |
Urban |
target detection |
| 359 |
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images |
IEEE TNNLS |
2022 |
Codes |
unsupervised |
Hybrid |
Multi-sensor |
MR |
|
Change Detection |
| 358 |
Spectral-Spatial Classification of Few Shot HSI Image With Deep 3-D Convolutional Random Fourier Features Network |
IEEE TGRS |
2022 |
|
Transfer Learning |
CE |
HSI |
VHR |
|
Classification |
| 357 |
Bipartite Graph Attention Autoencoders for Unsupervised Change Detection Using VHR Remote Sensing Images |
IEEE TGRS |
2022 |
Codes |
unsupervised |
Hybrid |
RGB |
VHR |
Urban |
Change Detection |
| 356 |
Urban forestry detection by deep learning method with GaoFen-2 remote sensing images |
JARS |
2022 |
|
Transfer Learning |
|
|
VHR |
Urban |
target detection |
| 355 |
MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides |
Landslides |
2022 |
Codes |
Transfer Learning |
Hybrid |
MSI |
VHR |
Landslide |
Target detection |
| 354 |
A deep learning image segmentation model for agricultural irrigation system classification |
Computers and Electronics in Agriculture |
2022 |
Codes |
Transfer Learning |
CE |
RGB |
VHR |
agriculture |
Classification |
| 353 |
Text-to-Remote-Sensing-Image Generation With Structured Generative Adversarial Networks |
IEEE GRSL |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
VHR |
Urban |
Other |
| 352 |
A Two-Stage Adaptation Network (TSAN) for Remote Sensing Scene Classification in Single-Source-Mixed-Multiple-Target Domain Adaptation (Sآ²Mآ²T DA) Scenarios |
IEEE TGRS |
2022 |
Codes |
Transfer Learning |
Other |
RGB |
VHR |
Urban |
Classification |
| 351 |
Geographical Knowledge-Driven Representation Learning for Remote Sensing Images |
IEEE TGRS |
2022 |
Codes |
semi supervised |
Other |
MSI |
MR |
|
Classification |
| 350 |
DS4L: Deep Semisupervised Shared Subspace Learning for HSI Image Classification |
IEEE TGRS |
2022 |
|
semi supervised |
CE |
HSI |
VHR |
agriculture |
Classification/dimension reduction |
| 349 |
A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration |
IEEE GRSL |
2022 |
|
unsupervised |
mse |
Lidar |
VHR |
|
Registration |
| 348 |
ADMM-Based HSI Unmixing Networks for Abundance and Endmember Estimation |
IEEE TGRS |
2022 |
|
unsupervised |
MSE |
HSI |
VHR |
Urban |
Unmixing |
| 347 |
NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery |
IEEE TGRS |
2022 |
|
Weakly Supervised |
Hybrid |
RGB |
VHR |
Water |
Target detection |
| 346 |
Unsupervised Domain Adaptation for Semantic Segmentation of High-Resolution Remote Sensing Imagery Driven by Category-Certainty Attention |
IEEE TGRS |
2022 |
|
unsupervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 345 |
Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features |
IEEE TGRS |
2022 |
|
unsupervised |
MSE |
MSI |
MR |
Forest |
Change Detection |
| 344 |
Semi-Supervised Remote-Sensing Image Scene Classification Using Representation Consistency Siamese Network |
IEEE TGRS |
2022 |
|
semi supervised |
contrastive |
RGB |
VHR |
Urban |
Classification |
| 343 |
Change Detection From Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network |
IEEE JSTARS |
2022 |
Codes |
Weakly Supervised |
Hybrid |
SAR |
MR |
Urban |
Change Detection |
| 342 |
Multimodal HSI Unmixing: Insights From Attention Networks |
IEEE TGRS |
2022 |
Codes |
unsupervised |
Hybrid |
HSI |
VHR |
Urban |
Unmixing |
| 341 |
Semi-Supervised Semantic Segmentation of Remote Sensing Images With Iterative Contrastive Network |
IEEE GRSL |
2022 |
|
semi supervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 340 |
Large-Area Land-Cover Changes Monitoring With Time-Series Remote Sensing Images Using Transferable Deep Models |
IEEE TGRS |
2022 |
|
Transfer Learning |
|
MSI |
MR |
|
Change Detection |
| 339 |
Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests |
IEEE GRSL |
2022 |
|
Transfer Learning |
contrastive |
MSI |
MR |
Forest |
Change Detection |
| 338 |
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation |
IEEE TGRS |
2022 |
Codes |
Transfer Learning |
MSE |
RGB |
VHR |
Urban |
Classification |
| 337 |
Confident Learning-Based Domain Adaptation for HSI Image Classification |
IEEE TGRS |
2022 |
Codes |
Transfer Learning |
CE |
HSI |
VHR |
Urban |
Classification |
| 336 |
A Multiscale Framework With Unsupervised Learning for Remote Sensing Image Registration |
IEEE TGRS |
2022 |
|
unsupervised |
Hybrid |
RGB |
VHR |
Urban |
Registration |
| 335 |
Unsupervised SAR and Optical Image Matching Using Siamese Domain Adaptation |
IEEE TGRS |
2022 |
|
unsupervised |
Hybrid |
SAR |
HR |
Urban |
Registration |
| 334 |
Multiple Statistics Contributing to Few-Sample Deep Learning for Subtle Trace Detection in High-Resolution SAR Images |
IEEE TGRS |
2022 |
|
Self-Supervised |
CE |
SAR |
VHR |
|
Change Detection |
| 333 |
HSI Image Restoration with Self-Supervised Learning: A Two-Stage Training Approach |
IEEE TGRS |
2022 |
|
Self-Supervised |
mse |
HSI |
|
|
Denoising |
| 332 |
As if by Magic: Self-Supervised Training of Deep Despeckling Networks with MERLIN |
IEEE TGRS |
2022 |
Codes |
Self-Supervised |
|
SAR |
|
|
Denoising |
| 331 |
Heterogeneous self-supervised interest point matching for multi-modal remote sensing image registration |
T&F IJRS |
2022 |
|
Self-Supervised |
Hybrid |
Multi-sensor |
VHR |
Urban |
Registration |
| 330 |
Self-Supervised Feature Learning for Multimodal Remote Sensing Image Land Cover Classification |
IEEE TGRS |
2022 |
|
Self-Supervised |
Contrastive |
Multi-sensor |
|
Urban |
Classification |
| 329 |
Collaboration between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources |
IEEE TGRS |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
VHR |
Urban |
Classification |
| 328 |
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification |
JAG |
2022 |
Codes |
Self-Supervised |
Hybrid |
MSI |
MR |
Forest |
Classification |
| 327 |
The Self-Supervised Spectral–Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery |
Remote Sensing |
2022 |
|
Self-Supervised |
Hybrid |
RGB |
VHR |
Forest |
regression |
| 326 |
Cycle and Self-Supervised Consistency Training for Adapting Semantic Segmentation of Aerial Images |
Remote Sensing |
2022 |
|
Self-Supervised |
Hybrid |
MSI |
VHR |
Urban |
Classification |
| 325 |
FCCDN: Feature constraint network for VHR image change detection |
ISPRS J |
2022 |
Codes |
Self-Supervised |
Hybrid |
RGB |
VHR |
Urban |
Change Detection |
| 324 |
SlideSim: 3D Landslide Displacement Monitoring through a Physics-Based Simulation Approach to Self-Supervised Learning |
Remote Sensing |
2022 |
|
Self-Supervised |
|
Multi-sensor |
|
Landslide |
regression |
| 323 |
A Spectral–Spatial Change Detection Method Based on Simplified 3-D Convolutional Autoencoder for Multitemporal HSI Images |
IEEE GRSL |
2022 |
|
Self-Supervised |
Hybrid |
HSI |
MR |
Agriculture |
Change Detection |
| 322 |
Self-Supervised Pansharpening Based on a Cycle-Consistent Generative Adversarial Network |
IEEE GRSL |
2022 |
|
Self-Supervised |
Hybrid |
MSI |
VHR |
Urban |
Super resolution |
| 321 |
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images |
IEEE TGRS |
2022 |
Codes |
Self-Supervised |
Contrastive |
RGB |
VHR |
Urban |
Classification |
| 320 |
Spatial-Temporal Invariant Contrastive Learning for Remote Sensing Scene Classification |
IEEE GRSL |
2022 |
Codes |
Self-Supervised |
Contrastive |
RGB |
|
Urban |
Classification |
| 319 |
Weakly Supervised Part-Based Method for Combined Object Detection in Remote Sensing Imagery |
IEEE JSTARS |
2022 |
|
Weakly Supervised |
Hybrid |
RGB |
VHR |
Urban |
target detection |
| 318 |
Self-Guided Proposal Generation for Weakly Supervised Object Detection |
IEEE TGRS |
2022 |
|
Weakly Supervised |
Hybrid |
RGB |
VHR |
Urban |
target detection |
| 317 |
LaST: Label-Free Self-Distillation Contrastive Learning With Transformer Architecture for Remote Sensing Image Scene Classification |
IEEE GRSL |
2022 |
|
Self-Supervised |
Contrastive |
RGB |
VHR |
|
Classification |
| 316 |
SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images |
IEEE GRSL |
2022 |
|
semi supervised |
|
SAR |
HR |
Water |
Classification |
| 315 |
Dropout-Based Adversarial Training Networks for Remote Sensing Scene Classification |
IEEE GRSL |
2022 |
Codes |
Transfer Learning |
Hybrid |
MSI |
|
|
Classification |
| 314 |
LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes |
IEEE JSTARS |
2022 |
Codes |
unsupervised |
Hybrid |
MSI |
VHR |
|
Super resolution |
| 313 |
Translution-SNet: A Semisupervised HSI Image Stripe Noise Removal Based on Transformer and CNN |
IEEE TGRS |
2022 |
|
semi supervised |
Hybrid |
HSI |
|
|
Denoising |
| 312 |
Multi-layer Degradation Representation-Guided Blind Super-Resolution for Remote Sensing Images |
IEEE TGRS |
2022 |
|
unsupervised |
Contrastive |
RGB |
VHR |
|
Super resolution |
| 311 |
RingMo: A Remote Sensing Foundation Model with Masked Image Modeling |
IEEE TGRS |
2022 |
|
Self-Supervised |
Reconstruction |
MSI |
|
|
|
| 310 |
Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image |
IEEE GRSL |
2022 |
|
semi supervised |
hybrid |
MSI |
VHR |
Urban |
Classification |
| 309 |
Unsupervised Recurrent HSI Imagery Super-Resolution Using Pixel-Aware Refinement |
IEEE TGRS |
2022 |
|
unsupervised |
|
HSI |
MR |
agriculture |
super resolution |
| 308 |
A Bayesian Approach to Active Self-Paced Deep Learning for SAR Automatic Target Recognition |
IEEE GRSL |
2022 |
|
semi supervised |
hybrid |
SAR |
VHR |
|
target detection |
| 307 |
Fine-Grained Road Scene Understanding From Aerial Images Based on Semisupervised Semantic Segmentation Networks |
IEEE GRSL |
2022 |
|
semi supervised |
Hybrid |
RGB |
VHR |
|
Classification |
| 306 |
Unsupervised and Unregistered HSI Image Super-Resolution With Mutual Dirichlet-Net |
IEEE TGRS |
2022 |
|
Unsupervised |
Hybrid |
|
|
|
super resolution |
| 305 |
Unsupervised Land-Cover Segmentation Using Accelerated Balanced Deep Embedded Clustering |
IEEE GRSL |
2022 |
Codes |
Unsupervised |
other |
HSI |
|
|
Classification |
| 304 |
Unsupervised Change Detection by Cross-Resolution Difference Learning |
IEEE TGRS |
2022 |
|
Unsupervised |
Similarity |
|
VHR |
|
Change detection |
| 303 |
Manifold Learning-Based Semisupervised Neural Network for HSI Image Classification |
IEEE TGRS |
2022 |
|
semi supervised |
mse |
HSI |
|
|
Classification |
| 302 |
Unsupervised Multiple Change Detection in Remote Sensing Images via Generative Representation Learning Network |
IEEE GRSL |
2022 |
|
Unsupervised |
mse |
MSI |
VHR |
|
Change detection |
| 301 |
A Spectral-Spatial Change Detection Method Based on Simplified 3-D Convolutional Autoencoder for Multitemporal HSI Images |
IEEE GRSL |
2022 |
|
Self-Supervised |
Hybrid |
HSI |
MR |
|
change detection |
| 300 |
Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images |
IEEE TGRS |
2022 |
Codes |
unsupervised |
Hybrid |
RGB |
VHR |
Urban |
Target detection |
| 299 |
Fully Automated Classification Method for Crops Based on Spatiotemporal Deep-Learning Fusion Technology |
IEEE TGRS |
2022 |
|
semi supervised |
CE |
MSI |
HR |
Agriculture |
Classification |
| 298 |
Few-Shot Object Detection of Remote Sensing Images via Two-Stage Fine-Tuning |
IEEE GRSL |
2022 |
|
Transfer Learning |
|
RGB |
VHR |
|
Classification |
| 297 |
WRMatch: Improving FixMatch with Weighted Nuclear-Norm Regularization for Few-Shot Remote Sensing Scene Classification |
IEEE TGRS |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
|
|
classification |
| 296 |
Deep learning-based cross-sensor domain adaptation under active learning for land cover classification |
IEEE GRSL |
2022 |
Codes |
semi supervised |
|
|
|
|
Classification/dimension reduction |
| 295 |
Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy |
IEEE TGRS |
2022 |
Codes |
Transfer Learning |
CE |
RGB |
VHR |
urban |
change detection |
| 294 |
Remote Sensing Image Scene Classification With Self-Supervised Paradigm Under Limited Labeled Samples |
IEEE GRSL |
2022 |
|
self-supervised |
contrastive |
MSI |
MR |
|
classification |
| 293 |
A Multi-Degradation Aided Method for Unsupervised Remote Sensing Image Super Resolution With Convolution Neural Networks |
IEEE TGRS |
2022 |
|
unsupervised |
hybrid |
RGB |
VHR |
Urban |
super resolution |
| 292 |
Self-Supervised Learning With Adaptive Distillation for HSI Image Classification |
IEEE TGRS |
2022 |
|
Self-supervised |
CE |
HSI |
|
|
Classification |
| 291 |
Few-Shot SAR Target Classification via Metalearning |
IEEE TGRS |
2022 |
|
Transfer Learning |
CE |
SAR |
|
|
Classification |
| 290 |
Weakly Supervised Road Segmentation in High-Resolution Remote Sensing Images Using Point Annotations |
IEEE TGRS |
2022 |
Codes |
Weakly supervised |
CE |
RGB |
VHR |
|
Classification |
| 289 |
A Semisupervised Siamese Network for Efficient Change Detection in Heterogeneous Remote Sensing Images |
IEEE TGRS |
2022 |
|
semi supervised |
Similarity |
|
|
|
Change detection |
| 288 |
Scribble-Based Weakly Supervised Deep Learning for Road Surface Extraction From Remote Sensing Images |
IEEE TGRS |
2022 |
|
Weakly supervised |
Hybrid |
RGB |
VHR |
|
Target detection |
| 287 |
A Self-Supervised Denoising Network for Satellite-Airborne-Ground HSI Imagery |
IEEE TGRS |
2022 |
|
Self-supervised |
mse |
HSI |
|
|
denoising |
| 286 |
CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation |
IEEE GRSL |
2022 |
|
unsupervised |
Hybrid |
RGB |
VHR |
urban |
classification |
| 285 |
Content-Invariant Dual Learning for Change Detection in Remote Sensing Images |
IEEE TGRS |
2022 |
|
Transfer Learning |
Hybrid |
RGB |
VHR |
|
Change detection |
| 284 |
Deep Reinforcement Learning for Band Selection in HSI Image Classification |
IEEE TGRS |
2022 |
Codes |
Unsupervised |
mse |
HSI |
|
|
dimension reduction |
| 283 |
Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection |
IEEE GRSL |
2022 |
|
unsupervised |
|
|
VHR |
urban |
change detection |
| 282 |
A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images |
IEEE TGRS |
2022 |
|
unsupervised |
CE |
SAR |
|
|
change detection |
| 281 |
Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder |
IEEE TGRS |
2022 |
|
unsupervised |
Other |
MSI |
LR |
Cloud |
Other |
| 280 |
A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach |
IEEE TGRS |
2022 |
|
self-supervised |
Hybrid |
SAR |
MR |
|
denoising |
| 279 |
An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning |
IEEE TGRS |
2022 |
Codes |
unsupervised |
Hybrid |
MSI |
HR |
urban |
change detection |
| 278 |
SIGAN: Spectral Index Generative Adversarial Network for Data Augmentation in MSI Remote Sensing Images |
IEEE GRSL |
2022 |
|
Transfer Learning |
contrastive |
MSI |
HR |
|
classification |
| 277 |
Unsupervised Change Detection of MSI Remote Sensing Images Based on Deep Difference Feature Variance Maximization |
IEEE GRSL |
2022 |
|
unsupervised |
Hybrid |
MSI |
|
|
change detection |
| 276 |
Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery |
IEEE TGRS |
2022 |
|
Transfer Learning |
CE |
MSI |
VHR |
agriculture |
target detection |
| 275 |
Hyper-Embedder: Learning A Deep Embedder for Self-supervised HSI Dimensionality Reduction |
IEEE GRSL |
2022 |
|
self-supervised |
reconstruction |
HSI |
MR |
forest |
dimension reduction |
| 274 |
Cross-Sensor Remote-Sensing Images Scene Understanding Based on Transfer Learning Between Heterogeneous Networks |
IEEE GRSL |
2022 |
|
Transfer Learning |
CE |
Multi-sensor |
|
|
classification |
| 273 |
Super Resolution Guided Deep Network for Land Cover Classification from Remote Sensing Images |
IEEE TGRS |
2022 |
Codes |
Self-Supervised |
Hybrid |
RGB |
HR |
urban |
classification |
| 272 |
Patch-level unsupervised planetary change detection |
IEEE GRSL |
2022 |
Codes |
unsupervised |
|
|
|
|
change detection |
| 271 |
Semisupervised Cross-Scale Graph Prototypical Network for HSI Image Classification |
IEEE TNNLS |
2022 |
|
semi supervised |
Hybrid |
HSI |
|
|
Classification |
| 270 |
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised HSI Unmixing |
IEEE TNNLS |
2021 |
Codes |
Self-Supervised |
Hybrid |
HSI |
MR |
|
Unmixing |
| 269 |
A Mutual Information-Based Self-Supervised Learning Model for PolSAR Land Cover Classification |
IEEE TGRS |
2021 |
|
Self-Supervised |
Similarity |
SAR |
MR |
|
Classification |
| 268 |
An adversarial generative network for crop classification from remote sensing timeseries images |
Remote Sensing |
2021 |
Codes |
Transfer Learning |
Contrastive |
MSI |
MR |
Agriculture |
Classification |
| 267 |
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection |
IEEE TGRS |
2021 |
Codes |
Unsupervised |
Hybrid |
|
|
|
Change detection |
| 266 |
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images |
IEEE TNNLS |
2021 |
|
Unsupervised |
reconstruction |
Multi-sensor |
|
|
Change detection |
| 265 |
Self-Supervised Deep Subspace Clustering for HSI Images with Adaptive Self-Expressive Coefficient Matrix Initialization |
IEEE JSTARS |
2021 |
Codes |
Self-supervised |
Hybrid |
HSI |
|
|
Classification |
| 264 |
Attention-Based Multiscale Residual Adaptation Network for Cross-Scene Classification |
IEEE TGRS |
2021 |
Codes |
Transfer Learning |
Hybrid |
RGB |
VHR |
|
Classification |
| 263 |
Meta-learning based on parameter transfer for few-shot classification of remote sensing scenes |
T&F RSL |
2021 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
Classification |
| 262 |
Transferability of convolutional neural network models for identifying damaged buildings due to earthquake |
Remote Sensing |
2021 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
Target detection |
| 261 |
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information |
IEEE JSTARS |
2021 |
Codes |
Transfer Learning |
CE |
RGB |
VHR |
|
Classification |
| 260 |
Small sample classification for HSI imagery using temporal convolution and attention mechanism |
T&F RSL |
2021 |
|
semi supervised |
CE |
HSI |
|
|
Classification |
| 259 |
NestNet: a multiscale convolutional neural network for remote sensing image change detection |
T&F IJRS |
2021 |
Codes |
semi supervised |
Hybrid |
RGB |
VHR |
|
Change detection |
| 258 |
SAR2SAR: A Semi-Supervised Despeckling Algorithm for SAR Images |
IEEE JSTARS |
2021 |
Codes |
Semi supervised |
CE |
SAR |
|
|
denoising |
| 257 |
Scene parsing for very high resolution remote sensing images using on attention-residual block-embedded adversarial networks |
T&F RSL |
2021 |
|
Transfer Learning |
Contrastive |
MSI |
VHR |
Urban |
Classification |
| 256 |
Semi-supervised segmentation for coastal monitoring seagrass using RPA imagery |
Remote Sensing |
2021 |
Codes |
semi supervised |
CE |
|
VHR |
|
Classification |
| 255 |
Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions |
IEEE JSTARS |
2021 |
|
Transfer Learning |
CE |
MSI |
HR |
Landslide |
Target detection |
| 254 |
DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection |
IEEE TNNLS |
2021 |
|
Unsupervised |
Hybrid |
|
|
|
Change detection |
| 253 |
Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for HSI Anomaly Detection |
IEEE TNNLS |
2021 |
|
Weakly supervised |
Hybrid |
HSI |
|
|
Anomaly detection |
| 252 |
Super-resolution of remotely sensed data using channel attention based deep learning approach |
T&F IJRS |
2021 |
|
Unsupervised |
Similarity |
|
|
|
super resolution |
| 251 |
Active deep densely connected convolutional network for HSI image classification |
T&F IJRS |
2021 |
|
semi supervised |
Hybrid |
HSI |
|
|
Classification |
| 250 |
Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network with MTF-Based Degradation Model |
IEEE JSTARS |
2021 |
|
Unsupervised |
Similarity |
MSI |
|
|
super resolution |
| 249 |
Spectral super-resolution network guided by intrinsic properties of HSI imagery |
IEEE TIP |
2021 |
|
Self-supervised |
mse |
HSI |
|
|
super resolution |
| 248 |
SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial Imagery |
IEEE GRSL |
2021 |
Codes |
semi supervised |
Hybrid |
RGB |
|
|
Target detection |
| 247 |
Unsupervised HSI image change detection via deep learning self-generated credible labels |
IEEE JSTARS |
2021 |
|
unsupervised |
|
HSI |
MR |
|
Change detection |
| 246 |
Ssdan: Multi-source semi-supervised domain adaptation network for remote sensing scene classification |
Remote Sensing |
2021 |
Codes |
semi supervised |
Hybrid |
RGB |
VHR |
|
Classification |
| 245 |
Spectral-Spatial Attention Feature Extraction for HSI Image Classification Based on Generative Adversarial Network |
IEEE JSTARS |
2021 |
|
semi supervised |
Hybrid |
HSI |
|
|
Classification |
| 244 |
Deep Semisupervised Teacher-Student Model Based on Label Propagation for Sea Ice Classification |
IEEE JSTARS |
2021 |
Codes |
semi supervised |
Hybrid |
SAR |
MR |
Water |
Classification |
| 243 |
Arbitrary-Oriented Ship Detection through Center-Head Point Extraction |
IEEE TGRS |
2021 |
Codes |
semi supervised |
Hybrid |
RGB |
VHR |
Water |
Classification |
| 242 |
DS⁴L: Deep Semisupervised Shared Subspace Learning for HSI Image Classification |
IEEE TGRS |
2021 |
|
semi supervised |
Hybrid |
HSI |
|
|
Classification |
| 241 |
Fusing deep features by kernel collaborative representation for remote sensing scene classification |
IEEE JSTARS |
2021 |
|
Transfer Learning |
Other |
RGB |
VHR |
|
Classification |
| 240 |
MSMatch: Semisupervised MSI Scene Classification with Few Labels |
IEEE JSTARS |
2021 |
Codes |
semi supervised |
CE |
|
VHR |
|
Classification |
| 239 |
Stacked autoencoders driven by semi‐supervised learning for building extraction from near infrared remote sensing imagery |
Remote Sensing |
2021 |
|
semi supervised |
|
MSI |
VHR |
Urban |
Target detection |
| 238 |
Semi‐supervised multi‐temporal deep representation fusion network for landslide mapping from aerial orthophotos |
Remote Sensing |
2021 |
|
semi supervised |
Hybrid |
RGB |
VHR |
Landslide |
Target detection |
| 237 |
Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images |
IEEE TGRS |
2021 |
|
Transfer Learning |
Contrastive |
|
|
|
Change detection |
| 236 |
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding |
IEEE TGRS |
2021 |
Codes |
Unsupervised |
Contrastive |
SAR |
VHR |
Urban |
Change detection |
| 235 |
On the generalization ability of a global model for rapid building mapping from heterogeneous satellite images of multiple natural disaster scenarios |
Remote Sensing |
2021 |
|
Transfer Learning |
Contrastive |
RGB |
VHR |
Urban |
Target detection |
| 234 |
Benchmarking deep learning models for cloud detection in landsat-8 and sentinel-2 images |
Remote Sensing |
2021 |
Codes |
Transfer Learning |
CE |
MSI |
|
Cloud |
Target detection |
| 233 |
Semi-/weakly-supervised semantic segmentation method and its application for coastal aquaculture areas based on multi-source remote sensing images—taking the fujian coastal area (Mainly sanduo) as an example |
Remote Sensing |
2021 |
|
semi supervised |
Hybrid |
MSI |
|
|
Classification |
| 232 |
HSI Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks |
IEEE TGRS |
2021 |
|
Unsupervised |
reconstruction |
HSI |
|
|
denoising |
| 231 |
Unsupervised multistep deformable registration of remote sensing imagery based on deep learning |
Remote Sensing |
2021 |
Codes |
Unsupervised |
mse |
RGB |
VHR |
Urban |
registration |
| 230 |
Assessing deep convolutional neural networks and assisted machine perception for urban mapping |
Remote Sensing |
2021 |
|
Transfer Learning |
CE |
MSI |
VHR |
|
Classification |
| 229 |
DDRNet: Fast point cloud registration network for large-scale scenes |
ISPRS J |
2021 |
|
unsupervised |
Similarity |
Lidar |
VHR |
|
registration |
| 228 |
Hapke Data Augmentation for Deep Learning-Based HSI Data Analysis with Limited Samples |
IEEE GRSL |
2021 |
|
Transfer Learning |
CE |
HSI |
VHR |
|
Classification |
| 227 |
Weakly supervised instance attention for multisource fine-grained object recognition with an application to tree species classification |
ISPRS J |
2021 |
|
Weakly supervised |
CE |
Multi-sensor |
VHR |
Forest |
Classification |
| 226 |
Building extraction from very-high-resolution remote sensing images using semi-supervised semantic edge detection |
Remote Sensing |
2021 |
|
semi supervised |
CE |
RGB |
VHR |
Urban |
Target detection |
| 225 |
Deep neural networks with transfer learning for forest variable estimation using sentinel-2 imagery in boreal forest |
Remote Sensing |
2021 |
|
Transfer Learning |
Hybrid |
MSI |
|
Forest |
Regression |
| 224 |
An efficient multi-sensor remote sensing image clustering in urban areas via boosted convolutional autoencoder (BCAE) |
Remote Sensing |
2021 |
|
Unsupervised |
mse |
Multi-sensor |
|
|
Classification |
| 223 |
Leveraging deep neural networks to map caribou lichen in high-resolution satellite images based on a small-scale, noisy UAV-derived map |
Remote Sensing |
2021 |
|
semi supervised |
CE |
RGB |
VHR |
Forest |
Classification |
| 222 |
Meta‐fseo: A meta‐learning fast adaptation with self‐supervised embedding optimization for few‐shot remote sensing scene classification |
Remote Sensing |
2021 |
|
Transfer Learning |
Hybrid |
Multi-sensor |
|
Urban |
Classification |
| 221 |
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning |
ISPRS J |
2021 |
|
Unsupervised |
CE |
SAR |
HR |
Water |
Classification |
| 220 |
Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis |
IEEE TGRS |
2021 |
|
Self-supervised |
Hybrid |
|
LR |
|
denoising |
| 219 |
Bias in deep neural networks in land use characterization for international development |
Remote Sensing |
2021 |
|
Transfer Learning |
|
RGB |
VHR |
Urban |
Classification |
| 218 |
Remote sensing image defogging networks based on dual self-attention boost residual octave convolution |
Remote Sensing |
2021 |
|
unsupervised |
|
RGB |
|
|
Other |
| 217 |
Msresnet: Multiscale residual network via self-supervised learning for water-body detection in remote sensing imagery |
Remote Sensing |
2021 |
Codes |
Self-supervised |
Hybrid |
RGB |
VHR |
Water |
Target detection |
| 216 |
HSI and MSI image fusion by deep neural network in a self‐supervised manner |
Remote Sensing |
2021 |
|
Self-supervised |
Similarity |
|
|
|
Fusion |
| 215 |
Semi-supervised convolutional long short-term memory neural networks for time series land cover classification |
Remote Sensing |
2021 |
|
semi supervised |
CE |
MSI |
HR |
|
Classification |
| 214 |
Cct: Conditional co-training for truly unsupervised remote sensing image segmentation in coastal areas |
Remote Sensing |
2021 |
|
Unsupervised |
Hybrid |
RGB |
VHR |
Water |
Classification |
| 213 |
Fine-scale sea ice segmentation for high-resolution satellite imagery with weakly-supervised CNNs |
Remote Sensing |
2021 |
Codes |
Weakly supervised |
Hybrid |
RGB |
VHR |
Water |
Classification |
| 212 |
An advanced sar image despeckling method by bernoulli-sampling-based self-supervised deep learning |
Remote Sensing |
2021 |
|
Self-supervised |
reconstruction |
SAR |
VHR |
|
denoising |
| 211 |
Mapping forest vertical structure in sogwang-ri forest from full-waveform lidar point clouds using deep neural network |
Remote Sensing |
2021 |
|
unsupervised |
mse |
Lidar |
VHR |
Forest |
Regression |
| 210 |
Cross-dimension attention guided self-supervised remote sensing single-image super-resolution |
Remote Sensing |
2021 |
|
Self-Supervised |
Similarity |
RGB |
|
|
super resolution |
| 209 |
A cyclic information–interaction model for remote sensing image segmentation |
Remote Sensing |
2021 |
|
Unsupervised |
Hybrid |
RGB |
VHR |
|
Classification |
| 208 |
Ha-net: A lake water body extraction network based on hybrid-scale attention and transfer learning |
Remote Sensing |
2021 |
|
Transfer Learning |
CE |
RGB |
MR |
Water |
Classification |
| 207 |
Adversarial self-supervised learning for robust sar target recognition |
Remote Sensing |
2021 |
Codes |
Self-Supervised |
Contrastive |
SAR |
|
|
Target detection |
| 206 |
Early labeled and small loss selection semi-supervised learning method for remote sensing image scene classification |
Remote Sensing |
2021 |
|
semi supervised |
Hybrid |
RGB |
|
|
Classification |
| 205 |
Transferable deep learning from time series of landsat data for national land-cover mapping with noisy labels: A case study of China |
Remote Sensing |
2021 |
|
Transfer Learning |
Hybrid |
MSI |
MR |
|
Classification |
| 204 |
Detection of outliers in lidar data acquired by multiple platforms over sorghum and maize |
Remote Sensing |
2021 |
|
Transfer Learning |
|
Lidar |
VHR |
Agriculture |
denoising |
| 203 |
Semi-automated semantic segmentation of arctic shorelines using very high-resolution airborne imagery, spectral indices and weakly supervised machine learning approaches |
Remote Sensing |
2021 |
|
Weakly supervised |
Other |
MSI |
VHR |
Water |
Classification |
| 202 |
Unsupervised deep learning for landslide detection from MSI sentinel-2 imagery |
Remote Sensing |
2021 |
|
Unsupervised |
reconstruction |
MSI |
HR |
Landslide |
Target detection |
| 201 |
Physically Constrained Transfer Learning through Shared Abundance Space for HSI Image Classification |
IEEE TGRS |
2021 |
|
Transfer Learning |
Hybrid |
HSI |
|
|
Classification |
| 200 |
Multisource Remote Sensing Data Classification with Graph Fusion Network |
IEEE TGRS |
2021 |
|
Unsupervised |
Hybrid |
Multi-sensor |
VHR |
|
Fusion |
| 199 |
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting HSI Images |
IEEE GRSL |
2021 |
|
Unsupervised |
mse |
HSI |
|
|
Classification |
| 198 |
Appearance based deep domain adaptation for the classification of aerial images |
ISPRS J |
2021 |
|
Transfer Learning |
Hybrid |
MSI |
VHR |
Urban |
Classification |
| 197 |
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation |
ISPRS J |
2021 |
Codes |
Weakly supervised |
|
MSI |
VHR |
Urban |
Classification |
| 196 |
Dual feature extraction network for HSI image analysis |
Pattern Recognition |
2021 |
|
Unsupervised |
Contrastive |
HSI |
|
|
Anomaly detection |
| 195 |
Investigation and evaluation of algorithms for unmanned aerial vehicle MSI image registration |
JAG |
2021 |
|
Unsupervised |
mse |
MSI |
VHR |
|
registration |
| 194 |
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery |
JAG |
2021 |
|
Unsupervised |
CE |
RGB |
|
Water |
Classification |
| 193 |
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from HSI data |
RSE |
2021 |
|
Transfer Learning |
mse |
RGB |
VHR |
Agriculture |
Regression |
| 192 |
Urban development analysis using built-up area maps based on multiple high-resolution satellite data |
JAG |
2021 |
|
Transfer Learning |
|
Multi-sensor |
|
Urban |
Target detection |
| 191 |
An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes |
ISPRS J |
2021 |
|
Transfer Learning |
Hybrid |
MSI |
MR |
Forest |
Change detection |
| 190 |
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter |
JAG |
2021 |
|
Unsupervised |
Contrastive |
MSI |
LR |
Forest |
Other |
| 189 |
HSI image shadow compensation via cycle-consistent adversarial networks |
Neurocomputing |
2021 |
|
Unsupervised |
Contrastive |
HSI |
VHR |
Urban |
Other |
| 188 |
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images |
RSE |
2021 |
Codes |
semi supervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 187 |
Automatic land cover classification of multi-resolution dualpol data using convolutional neural network (CNN) |
Remote Sensing Applications: Society and Environment |
2021 |
|
Transfer Learning |
CE |
SAR |
VHR |
|
Classification |
| 186 |
Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images |
JAG |
2021 |
|
semi supervised |
Hybrid |
RGB |
VHR |
|
Change detection |
| 185 |
Unsupervised missing information reconstruction for single remote sensing image with Deep Code Regression |
JAG |
2021 |
|
Unsupervised |
reconstruction |
Multi-sensor |
LR |
|
Other |
| 184 |
High spatial-resolution classification of urban surfaces using a deep learning method |
Building and Environment |
2021 |
|
Transfer Learning |
|
MSI |
VHR |
Urban |
Classification |
| 183 |
An adaptive adversarial domain adaptation approach for corn yield prediction |
Computers and Electronics in Agriculture |
2021 |
|
Transfer Learning |
Hybrid |
MSI |
LR |
Agriculture |
Regression |
| 182 |
A novel CNN-LSTM-based approach to predict urban expansion |
Ecological Informatics |
2021 |
|
unsupervised |
Hybrid |
MSI |
HR |
Urban |
Regression |
| 181 |
Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning |
IEEE GRSL |
2021 |
|
Transfer Learning |
Hybrid |
SAR |
VHR |
|
classification |
| 180 |
Unsupervised Domain Adaptation of High-Resolution Aerial Images via Correlation Alignment and Self Training |
IEEE GRSL |
2021 |
|
unsupervised |
Hybrid |
RGB |
VHR |
urban |
classification |
| 179 |
Unsupervised Land Cover Classification of Hybrid and Dual-Polarized Images Using Deep Convolutional Neural Network |
IEEE GRSL |
2021 |
|
unsupervised |
OTher |
SAR |
HR |
agriculture |
classification |
| 178 |
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification |
IEEE GRSL |
2021 |
|
semi supervised |
|
SAR |
MR |
agriculture |
classification |
| 177 |
Deep Blind HSI Image Super-Resolution |
IEEE TNNLS |
2021 |
|
unsupervised |
Similarity |
HSI |
MR |
|
super resolution |
| 176 |
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast |
IEEE TGRS |
2021 |
Codes |
unsupervised |
contrastive |
|
|
agriculture |
|
| 175 |
SMAF-Net: Sharing Multiscale Adversarial Feature for High-Resolution Remote Sensing Imagery Semantic Segmentation |
IEEE GRSL |
2021 |
|
Transfer Learning |
contrastive |
|
VHR |
urban |
classification |
| 174 |
GAN-Based Semisupervised Scene Classification of Remote Sensing Image |
IEEE GRSL |
2021 |
Codes |
Transfer Learning |
contrastive |
MSI |
HR |
|
classification |
| 173 |
SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs |
IEEE TGRS |
2021 |
|
Transfer Learning |
Hybrid |
SAR |
VHR |
urban |
classification |
| 172 |
Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification |
IEEE JSTARS |
2021 |
Codes |
Self-Supervised |
Hybrid |
MSI |
MR |
|
classification |
| 171 |
Geo-Parcel-Based Change Detection Using Optical and SAR Images in Cloudy and Rainy Areas |
IEEE JSTARS |
2021 |
|
unsupervised |
|
Multi-sensor |
VHR |
urban |
change detection |
| 170 |
Unsupervised Change Detection in Satellite Images With Generative Adversarial Network |
IEEE TGRS |
2021 |
|
unsupervised |
contrastive |
RGB |
VHR |
urban |
change detection |
| 169 |
Self-Supervised GANs With Similarity Loss for Remote Sensing Image Scene Classification |
IEEE JSTARS |
2021 |
|
Self-Supervised |
Similarity |
RGB |
VHR |
|
classification |
| 168 |
On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery |
IEEE JSTARS |
2021 |
|
Weakly supervised |
Hybrid |
RGB |
VHR |
urban |
target detection |
| 167 |
Traffic Density Reduction Caused by City Lockdowns Across the World During the COVID-19 Epidemic: From the View of High-Resolution Remote Sensing Imagery |
IEEE JSTARS |
2021 |
|
semi supervised |
CE |
RGB |
VHR |
urban |
target detection |
| 166 |
Prior-Information Auxiliary Module: An Injector to a Deep Learning Bridge Detection Model |
IEEE JSTARS |
2021 |
|
semi supervised |
Other |
RGB |
VHR |
urban |
target detection |
| 165 |
Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning |
IEEE JSTARS |
2021 |
Codes |
Self-Supervised |
Hybrid |
RGB |
VHR |
|
classification |
| 164 |
Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network |
IEEE Transactions on Cybernetics |
2021 |
Codes |
unsupervised |
|
MSI |
VHR |
urban |
change detection |
| 163 |
A Two-Stage Adaptation Network (TSAN) for Remote Sensing Scene Classification in Single-Source-Mixed-Multiple-Target Domain Adaptation (Sآ²Mآ²T DA) Scenarios |
IEEE TGRS |
2021 |
Codes |
Transfer Learning |
contrastive |
RGB |
MR |
urban |
classification |
| 162 |
DSâپ´L: Deep Semisupervised Shared Subspace Learning for HSI Image Classification |
IEEE TGRS |
2021 |
|
semi supervised |
Hybrid |
HSI |
MR |
|
classification |
| 161 |
Change Detection in Hyperdimensional Images Using Untrained Models |
IEEE JSTARS |
2021 |
|
unsupervised |
|
HSI |
MR |
forest |
change detection |
| 160 |
Dynamic Graph-Level Neural Network for SAR Image Change Detection |
IEEE GRSL |
2021 |
|
semi supervised |
CE |
SAR |
|
urban |
change detection |
| 159 |
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration |
IEEE GRSL |
2021 |
|
unsupervised |
Similarity |
Lidar |
|
|
registration |
| 158 |
Feature Extraction for Classification of HSI and LiDAR Data Using Patch-to-Patch CNN |
IEEE Transactions on Cybernetics |
2020 |
|
semi supervised |
CE |
multi-sensor |
VHR |
Urban |
Classification |
| 157 |
Distribution consistency loss for large-scale remote sensing image retrieval |
Remote Sensing |
2020 |
|
semi supervised |
Contrastive |
RGB |
VHR |
agriculture |
Classification |
| 156 |
Deep TEC: Deep transfer learning with ensemble classifier for road extraction from UAV imagery |
Remote Sensing |
2020 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
target detection |
| 155 |
Weakly supervised deep learning for segmentation of remote sensing imagery |
Remote Sensing |
2020 |
|
Weakly supervised |
CE |
MSI |
MR |
agriculture |
Classification |
| 154 |
Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model |
IEEE JSTARS |
2020 |
|
unsupervised |
|
multi-sensor |
HR |
agriculture |
change detection |
| 153 |
Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined with Graph-Based Approaches |
IEEE JSTARS |
2020 |
Codes |
unsupervised |
hybrid |
MSI |
HR |
Urban |
change detection |
| 152 |
HSI Classification Using Deep Belief Networks Based on Conjugate Gradient Update and Pixel-Centric Spectral Block Features |
IEEE JSTARS |
2020 |
|
semi supervised |
|
HSI |
VHR |
agriculture |
Classification |
| 151 |
Semi-MCNN: A Semisupervised Multi-CNN Ensemble Learning Method for Urban Land Cover Classification Using Submeter HRRS Images |
IEEE JSTARS |
2020 |
|
semi supervised |
|
MSI |
|
Urban |
Classification |
| 150 |
BAS Net: Boundary-Aware Semi-Supervised Semantic Segmentation Network for Very High Resolution Remote Sensing Images |
IEEE JSTARS |
2020 |
|
semi supervised |
hybrid |
MSI |
VHR |
Urban |
Classification |
| 149 |
Attention-Based Domain Adaptation Using Residual Network for HSI Image Classification |
IEEE JSTARS |
2020 |
|
Transfer Learning |
Other |
HSI |
VHR |
agriculture |
Classification |
| 148 |
Extraction of snow cover from high-resolution remote sensing imagery using deep learning on a small dataset |
T&F RSL |
2020 |
|
Transfer Learning |
|
MSI |
MR |
Snow |
target detection |
| 147 |
Enhancing remote sensing image retrieval using a triplet deep metric learning network |
T&F IJRS |
2020 |
|
unsupervised |
hybrid |
RGB |
VHR |
Urban |
Classification |
| 146 |
Land-cover classification with high-resolution remote sensing images using transferable deep models |
RSE |
2020 |
|
Transfer Learning |
CE |
MSI |
MR |
Forest |
Classification |
| 145 |
Discriminative feature learning constrained unsupervised network for cloud detection in remote sensing imagery |
Remote Sensing |
2020 |
|
unsupervised |
hybrid |
HSI |
MR |
Cloud |
Target detection |
| 144 |
Agricultural expansion in mato grosso from 1986-2000: A bayesian time series approach to tracking past land cover change |
Remote Sensing |
2020 |
|
unsupervised |
|
MSI |
MR |
Agriculture |
change detection |
| 143 |
Deep Latent Spectral Representation Learning-Based HSI Band Selection for Target Detection |
IEEE TGRS |
2020 |
|
unsupervised |
Other |
HSI |
MR |
Urban |
target detection |
| 142 |
Fully Convolutional Networks with Multiscale 3D Filters and Transfer Learning for Change Detection in High Spatial Resolution Satellite Images |
Remote Sensing |
2020 |
|
Transfer Learning |
|
RGB |
VHR |
Urban |
change detection |
| 141 |
Review and evaluation of deep learning architectures for efficient land cover mapping with UAS hyper-spatial imagery: A case study over a wetland |
Remote Sensing |
2020 |
|
Weakly supervised |
CE |
RGB |
VHR |
Wetland |
Classification |
| 140 |
BoVSG: bag of visual SubGraphs for remote sensing scene classification |
T&F IJRS |
2020 |
|
semi supervised |
|
RGB |
VHR |
Snow |
Classification |
| 139 |
Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data |
RSE |
2020 |
|
unsupervised |
|
multi-sensor |
LR |
Atmosphere |
target detection |
| 138 |
An integrative remote sensing application of stacked autoencoder for atmospheric correction and cyanobacteria estimation using HSI imagery |
Remote Sensing |
2020 |
|
unsupervised |
reconstruction |
HSI |
VHR |
Atmosphere |
Other |
| 137 |
Treetop detection using convolutional neural networks trained through automatically generated pseudo labels |
T&F IJRS |
2020 |
Codes |
unsupervised |
CE |
RGB |
VHR |
agriculture |
target detection |
| 136 |
Classifier-Constrained Deep Adversarial Domain Adaptation for Cross-Domain Semisupervised Classification in Remote Sensing Images |
IEEE GRSL |
2020 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
Classification |
| 135 |
Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks |
IEEE TGRS |
2020 |
|
Transfer Learning |
contrastive |
MSI |
MR |
Urban |
Classification |
| 134 |
Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks |
IEEE GRSL |
2020 |
|
semi supervised |
CE |
RGB |
VHR |
agriculture |
Classification |
| 133 |
An Improved Pretraining Strategy-Based Scene Classification with Deep Learning |
IEEE GRSL |
2020 |
|
semi supervised |
|
RGB |
VHR |
Urban |
Classification |
| 132 |
Fully convolutional networks and a manifold graph embedding-based algorithm for PolSAR image classification |
Remote Sensing |
2020 |
|
semi supervised |
CE |
SAR |
HR |
agriculture |
Classification |
| 131 |
Self-supervised representation learning for remote sensing image change detection based on temporal prediction |
Remote Sensing |
2020 |
|
Self-Supervised |
CE |
multi-sensor |
MR |
Urban |
change detection |
| 130 |
Achieving higher resolution lake area from remote sensing images through an unsupervised deep learning super-resolution method |
Remote Sensing |
2020 |
|
unsupervised |
Similarity |
MSI |
MR |
Water |
Classification |
| 129 |
Using convolutional neural networks incorporating hierarchical active learning for target-searching in large-scale remote sensing images |
T&F IJRS |
2020 |
|
semi supervised |
|
RGB |
VHR |
Urban |
target detection |
| 128 |
HSI unmixing using deep convolutional autoencoder |
T&F IJRS |
2020 |
|
unsupervised |
MSE |
HSI |
HR |
Urban |
Unmixing |
| 127 |
Band-independent encoder-decoder network for pan-sharpening of remote sensing images |
IEEE TGRS |
2020 |
|
unsupervised |
similarity |
RGB |
VHR |
Urban |
super resolution |
| 126 |
A classified adversarial network for multi-spectral remote sensing image change detection |
Remote Sensing |
2020 |
|
Transfer Learning |
contrastive |
MSI |
VHR |
Urban |
change detection |
| 125 |
Simple weakly supervised deep learning pipeline for detecting individual red-attacked trees in VHR remote sensing images |
T&F RSL |
2020 |
|
Weakly supervised |
|
RGB |
VHR |
Forest |
target detection |
| 124 |
Unsupervised Scale-Driven Change Detection with Deep Spatial-Spectral Features for VHR Images |
IEEE TGRS |
2020 |
|
unsupervised |
|
RGB |
VHR |
Urban |
change detection |
| 123 |
Uncertainty analysis for object-based change detection in very high-resolution satellite images using deep learning network |
Remote Sensing |
2020 |
|
unsupervised |
CE |
MSI |
VHR |
Urban |
change detection |
| 122 |
High-rankness regularized semi-supervised deep metric learning for remote sensing imagery |
Remote Sensing |
2020 |
Codes |
semi supervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 121 |
TCDNet: Trilateral change detection network for google earth image |
Remote Sensing |
2020 |
|
unsupervised |
hybrid |
RGB |
VHR |
Urban |
change detection |
| 120 |
Roi extraction based on multiview learning and attention mechanism for unbalanced remote sensing data set |
IEEE TGRS |
2020 |
|
Weakly supervised |
hybrid |
RGB |
VHR |
Urban |
target detection |
| 119 |
Deep nonnegative dictionary factorization for HSI unmixing |
Remote Sensing |
2020 |
|
unsupervised |
|
HSI |
MR |
Urban |
Unmixing |
| 118 |
Mapping tea plantations from VHR images using OBIA and convolutional neural networks |
Remote Sensing |
2020 |
|
Transfer Learning |
|
MSI |
VHR |
agriculture |
Classification |
| 117 |
Mask R-CNN refitting strategy for plant counting and sizing in uav imagery |
Remote Sensing |
2020 |
|
Transfer Learning |
Other |
RGB |
VHR |
agriculture |
target detection |
| 116 |
Self-Attentive Generative Adversarial Network for Cloud Detection in High Resolution Remote Sensing Images |
IEEE GRSL |
2020 |
|
Weakly supervised |
hybrid |
MSI |
HR |
Cloud |
Target detection |
| 115 |
Spectral Mixture Model Inspired Network Architectures for HSI Unmixing |
IEEE TGRS |
2020 |
|
semi supervised |
hybrid |
HSI |
VHR |
Urban |
Unmixing |
| 114 |
3D convolutional siamese network for few-shot HSI classification |
JARS |
2020 |
|
Transfer Learning |
|
HSI |
|
|
Classification |
| 113 |
When self-supervised learning meets scene classification: Remote sensing scene classification based on a multitask learning framework |
Remote Sensing |
2020 |
|
semi supervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 112 |
An automated framework for plant detection based on deep simulated learning from drone imagery |
Remote Sensing |
2020 |
|
Transfer Learning |
|
RGB |
VHR |
agriculture |
target detection |
| 111 |
Visual Saliency-Based Extended Morphological Profiles for Unsupervised Feature Learning of HSI Images |
IEEE GRSL |
2020 |
|
unsupervised |
|
HSI |
VHR |
agriculture |
Classification |
| 110 |
Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea |
IEEE TGRS |
2020 |
|
Weakly supervised |
|
SAR |
HR |
agriculture |
Classification |
| 109 |
SD-GAN: Saliency-Discriminated GAN for Remote Sensing Image Superresolution |
IEEE GRSL |
2020 |
|
Transfer Learning |
contrastive |
RGB |
VHR |
Urban |
super resolution |
| 108 |
Transferring deep learning models for cloud detection between Landsat-8 and Proba-V |
ISPRS J |
2020 |
|
Transfer Learning |
CE |
MSI |
|
Cloud |
Target detection |
| 107 |
Improving model robustness for soybean iron deficiency chlorosis rating by unsupervised pre-training on unmanned aircraft system derived images |
Computers and Electronics in Agriculture |
2020 |
|
Transfer Learning |
mse |
RGB |
VHR |
Agriculture |
Regression |
| 106 |
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion |
Information Fusion |
2020 |
|
Unsupervised |
Contrastive |
|
|
|
Fusion |
| 105 |
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion |
ISPRS J |
2020 |
|
semi supervised |
Hybrid |
MSI |
HR |
Cloud |
Other |
| 104 |
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities |
RSE |
2020 |
|
Transfer Learning |
|
RGB |
VHR |
Urban |
Classification |
| 103 |
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning |
RSE |
2020 |
Codes |
Weakly supervised |
CE |
MSI |
HR |
Cloud |
Target detection |
| 102 |
Hierarchical Weakly Supervised Learning for Residential Area Semantic Segmentation in Remote Sensing Images |
IEEE GRSL |
2020 |
|
Weakly supervised |
|
RGB |
VHR |
|
classification |
| 101 |
Vehicle Detection in Remote Sensing Images Leveraging on Simultaneous Super-Resolution |
IEEE GRSL |
2020 |
|
unsupervised |
hybrid |
RGB |
VHR |
|
super resolution |
| 100 |
Attention GANs: Unsupervised Deep Feature Learning for Aerial Scene Classification |
IEEE TGRS |
2020 |
Codes |
Transfer Learning |
contrastive |
RGB |
VHR |
|
classification |
| 99 |
Transfer Learning for Segmenting Dimensionally Reduced HSI Images |
IEEE GRSL |
2020 |
Codes |
Transfer Learning |
ce |
HSI |
|
|
dimension reduction |
| 98 |
What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs |
IEEE TGRS |
2020 |
Codes |
Transfer Learning |
|
SAR |
|
|
target detection |
| 97 |
Unsupervised Adversarial Domain Adaptation Network for Semantic Segmentation |
IEEE GRSL |
2020 |
|
unsupervised |
contrastive |
RGB |
VHR |
urban |
classification |
| 96 |
Unsupervised Segmentation of HSI Images Using 3-D Convolutional Autoencoders |
IEEE GRSL |
2020 |
|
unsupervised |
hybrid |
HSI |
|
|
classification |
| 95 |
Distilling Before Refine: Spatio-Temporal Transfer Learning for Mapping Irrigated Areas Using Sentinel-1 Time Series |
IEEE GRSL |
2020 |
|
Transfer Learning |
hybrid |
SAR |
HR |
agriculture |
classification |
| 94 |
Unsupervised Scale-Driven Change Detection With Deep Spatial–Spectral Features for VHR Images |
IEEE TGRS |
2020 |
|
unsupervised |
|
MSI |
HR |
|
change detection |
| 93 |
An Unsupervised Remote Sensing Single-Image Super-Resolution Method Based on Generative Adversarial Network |
IEEE Access |
2020 |
|
unsupervised |
hybrid |
RGB |
MR |
|
super resolution |
| 92 |
Semi-Supervised Representation Learning for Remote Sensing Image Classification Based on Generative Adversarial Networks |
IEEE Access |
2020 |
|
semi supervised |
contrastive |
RGB |
VHR |
|
classification |
| 91 |
Multi-Adversarial Partial Transfer Learning With Object-Level Attention Mechanism for Unsupervised Remote Sensing Scene Classification |
IEEE Access |
2020 |
|
unsupervised |
contrastive |
RGB |
VHR |
urban |
classification |
| 90 |
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images |
IEEE TGRS |
2020 |
Codes |
Transfer Learning |
ce |
RGB |
VHR |
urban |
target detection |
| 89 |
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval |
IEEE TGRS |
2020 |
|
Transfer Learning |
Similarity |
RGB |
VHR |
urban |
Other |
| 88 |
An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images |
IEEE JSTARS |
2020 |
|
unsupervised |
Similarity |
RGB |
VHR |
|
super resolution |
| 87 |
Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images |
IEEE TGRS |
2020 |
|
unsupervised |
CE |
MSI |
HR |
urban |
classification |
| 86 |
Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning |
IEEE Access |
2020 |
|
unsupervised |
|
HSI |
HR |
|
anomaly detection |
| 85 |
BAS$^{4}$Net: Boundary-Aware Semi-Supervised Semantic Segmentation Network for Very High Resolution Remote Sensing Images |
IEEE JSTARS |
2020 |
|
semi supervised |
ce |
RGB |
VHR |
urban |
classification |
| 84 |
Transfer Learning With CNNs for Segmentation of PALSAR-2 Power Decomposition Components |
IEEE JSTARS |
2020 |
|
Transfer Learning |
mse |
SAR |
MR |
|
classification |
| 83 |
X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data |
ISPRS J |
2020 |
|
semi supervised |
Hybrid |
Multi-sensor |
|
Urban |
Classification |
| 82 |
Arctic vegetation mapping using unsupervised training datasets and convolutional neural networks |
Remote Sensing |
2019 |
|
unsupervised |
|
multi-sensor |
VHR |
Forest |
Classification |
| 81 |
Semantic segmentation on remotely sensed images using an enhanced global convolutional network with channel attention and domain specific transfer learning |
Remote Sensing |
2019 |
|
Transfer Learning |
|
MSI |
MR |
Urban |
Classification |
| 80 |
Superpixel-guided layer-wise embedding CNN for remote sensing image classification |
Remote Sensing |
2019 |
|
semi supervised |
CE |
multi-sensor |
|
Urban |
Classification |
| 79 |
Comparing deep neural networks, ensemble classifiers, and support vector machine algorithms for object-based urban land use/land cover classification |
Remote Sensing |
2019 |
|
unsupervised |
Other |
MSI |
VHR |
Urban |
Classification |
| 78 |
HSI remote sensing of phytoplankton species composition based on transfer learning |
Remote Sensing |
2019 |
|
Transfer Learning |
MSE |
HSI |
HR |
Water |
Regression |
| 77 |
Large-scale remote sensing image retrieval based on semi-supervised adversarial hashing |
Remote Sensing |
2019 |
|
semi supervised |
contrastive |
RGB |
VHR |
Urban |
Classification |
| 76 |
Combining deep learning and prior knowledge for crop mapping in tropical regions from multitemporal SAR image sequences |
Remote Sensing |
2019 |
|
semi supervised |
CE |
SAR |
MR |
agriculture |
Classification |
| 75 |
Unsupervised deep noise modeling for HSI image change detection |
Remote Sensing |
2019 |
|
unsupervised |
Other |
HSI |
MR |
agriculture |
change detection |
| 74 |
Fast spectral clustering for unsupervised HSI image classification |
Remote Sensing |
2019 |
|
unsupervised |
|
HSI |
VHR |
agriculture |
Classification |
| 73 |
Scene Classification Using Hierarchical Wasserstein CNN |
IEEE TGRS |
2019 |
|
semi supervised |
Other |
RGB |
VHR |
Urban |
Classification |
| 72 |
Automatic post-disaster damage mapping using deep-learning techniques for change detection: Case study of the Tohoku tsunami |
Remote Sensing |
2019 |
|
unsupervised |
reconstruction |
MSI |
MR |
Urban |
change detection |
| 71 |
A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery |
T&F IJRS |
2019 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
target detection |
| 70 |
PolSAR Image Semantic Segmentation Based on Deep Transfer Learning - Realizing Smooth Classification With Small Training Sets |
IEEE GRSL |
2019 |
|
Transfer Learning |
CE |
SAR |
VHR |
agriculture |
Classification |
| 69 |
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks |
Remote Sensing |
2019 |
Codes |
semi supervised |
|
multi-sensor |
VHR |
Forest |
target detection |
| 68 |
An unsupervised SAR change detection method based on stochastic subspace ensemble learning |
Remote Sensing |
2019 |
|
unsupervised |
|
SAR |
MR |
agriculture |
change detection |
| 67 |
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro |
IEEE GRSL |
2019 |
|
Transfer Learning |
contrastive |
RGB |
VHR |
Urban |
Classification |
| 66 |
DAEN: Deep Autoencoder Networks for HSI Unmixing |
IEEE TGRS |
2019 |
|
unsupervised |
reconstruction |
HSI |
VHR |
agriculture |
Unmixing |
| 65 |
Semisupervised HSI Image Classification Using Deep Features |
IEEE JSTARS |
2019 |
|
Transfer Learning |
|
HSI |
VHR |
Urban |
Classification |
| 64 |
TCANet for domain adaptation of HSI images |
Remote Sensing |
2019 |
|
Transfer Learning |
|
HSI |
VHR |
Urban |
Classification |
| 63 |
Wetland classification based on a new efficient generative adversarial network and Jilin-1 satellite image |
Remote Sensing |
2019 |
|
Transfer Learning |
hybrid |
MSI |
VHR |
Wetland |
Classification |
| 62 |
Void Filling of Digital Elevation Models with Deep Generative Models |
IEEE GRSL |
2019 |
|
Transfer Learning |
|
LiDAR |
VHR |
Urban |
Other |
| 61 |
Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders |
IEEE GRSL |
2019 |
|
unsupervised |
Other |
|
|
|
Classification |
| 60 |
Fine-grained classification of HSI imagery based on deep learning |
Remote Sensing |
2019 |
|
Transfer Learning |
contrastive |
HSI |
MR |
agriculture |
Classification |
| 59 |
Land cover change detection from high-resolution remote sensing imagery using multitemporal deep feature collaborative learning and a semi-supervised chan-vese model |
Remote Sensing |
2019 |
|
semi supervised |
|
MSI |
VHR |
Urban |
change detection |
| 58 |
Differentially deep subspace representation for unsupervised change detection of SAR images |
Remote Sensing |
2019 |
|
unsupervised |
|
SAR |
HR |
Urban |
change detection |
| 57 |
Simple yet effective fine-tuning of deep cnns using an auxiliary classification loss for remote sensing scene classification |
Remote Sensing |
2019 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
Classification |
| 56 |
HSI remote sensing image change detection based on tensor and deep learning |
Journal of Visual Communication and Image Representation |
2019 |
|
semi supervised |
|
HSI |
MR |
|
Change detection |
| 55 |
Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks |
ISPRS J |
2019 |
|
Transfer Learning |
CE |
|
|
Urban |
Classification |
| 54 |
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images |
IEEE TGRS |
2019 |
|
unsupervised |
mse |
MSI |
VHR |
|
change detection |
| 53 |
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images |
IEEE TGRS |
2019 |
|
unsupervised |
|
MSI |
VHR |
urban |
change detection |
| 52 |
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro |
IEEE GRSL |
2019 |
|
Transfer Learning |
contrastive |
RGB |
HR |
|
classification |
| 51 |
SAR Image Retrieval Based on Unsupervised Domain Adaptation and Clustering |
IEEE GRSL |
2019 |
|
Transfer Learning |
contrastive |
SAR |
HR |
|
classification |
| 50 |
Transferred Deep Learning-Based Change Detection in Remote Sensing Images |
IEEE TGRS |
2019 |
|
semi supervised |
hybrid |
SAR |
MR |
|
change detection |
| 49 |
Unsupervised Deep Feature Learning With Iteratively Refined Pseudo Classes for Scene Representation |
IEEE Access |
2019 |
|
unsupervised |
hybrid |
RGB |
VHR |
|
classification |
| 48 |
Aggregated Deep Fisher Feature for VHR Remote Sensing Scene Classification |
IEEE JSTARS |
2019 |
|
semi supervised |
ce |
RGB |
VHR |
|
classification |
| 47 |
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images |
IEEE TGRS |
2019 |
|
unsupervised |
mse |
HSI |
MR |
urban |
change detection |
| 46 |
Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised HSI dimensionality reduction |
ISPRS J |
2019 |
|
semi supervised |
|
HSI |
|
|
dimension reduction |
| 45 |
Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification |
ISPRS J |
2019 |
|
semi supervised |
|
Multi-sensor |
VHR |
Urban |
Classification |
| 44 |
Unsupervised spectral-spatial feature learning via deep residual conv-deconv network for HSI image classification |
IEEE TGRS |
2018 |
|
semi supervised |
Other |
HSI |
VHR |
Urban |
Classification |
| 43 |
Remote sensing image classification based on Stacked Denoising Autoencoder |
Remote Sensing |
2018 |
|
unsupervised |
reconstruction |
MSI |
HR |
Forest |
Classification |
| 42 |
Semisupervised HSI Image Classification Based on Generative Adversarial Networks |
IEEE GRSL |
2018 |
|
Transfer Learning |
CE |
HSI |
MR |
agriculture |
Classification |
| 41 |
Remote sensing scene classification based on convolutional neural networks pre-trained using attention-guided sparse filters |
Remote Sensing |
2018 |
|
semi supervised |
CE |
RGB |
VHR |
Urban |
Classification |
| 40 |
When low rank representation based HSI imagery classification meets segmented stacked denoising auto-encoder based spatial-spectral feature |
Remote Sensing |
2018 |
|
unsupervised |
reconstruction |
HSI |
VHR |
Urban |
Classification |
| 39 |
Long-term annual mapping of four cities on different continents by applying a deep information learning method to Landsat data |
Remote Sensing |
2018 |
|
Transfer Learning |
|
MSI |
MR |
Urban |
change detection |
| 38 |
Parallel multi-stage features fusion of deep convolutional neural networks for aerial scene classification |
T&F RSL |
2018 |
|
Transfer Learning |
|
RGB |
VHR |
Urban |
Classification |
| 37 |
Semantic labeling of high resolution aerial imagery and LiDAR data with fine segmentation network |
Remote Sensing |
2018 |
|
unsupervised |
CE |
multi-sensor |
VHR |
Urban |
Classification |
| 36 |
HSI imagery classification based on semi-supervised broad learning system |
Remote Sensing |
2018 |
|
semi supervised |
|
HSI |
MR |
agriculture |
Classification |
| 35 |
A Deep Network Architecture for Super-Resolution-Aided HSI Image Classification with Classwise Loss |
IEEE TGRS |
2018 |
|
semi supervised |
hybrid |
HSI |
VHR |
Urban |
Classification |
| 34 |
Unsupervised deep feature learning for remote sensing image retrieval |
Remote Sensing |
2018 |
|
unsupervised |
reconstruction |
RGB |
VHR |
Urban |
Classification |
| 33 |
Stacked nonnegative sparse autoencoders for robust HSI unmixing |
IEEE GRSL |
2018 |
|
unsupervised |
reconstruction |
HSI |
MR |
agriculture |
Unmixing |
| 32 |
Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery |
IEEE JSTARS |
2018 |
|
semi supervised |
|
MSI |
VHR |
Wetland |
Classification |
| 31 |
Low-shot learning for the semantic segmentation of remote sensing imagery |
IEEE TGRS |
2018 |
|
unsupervised |
hybrid |
HSI |
VHR |
agriculture |
Classification |
| 30 |
WSF-NET: Weakly supervised feature-fusion network for binary segmentation in remote sensing image |
Remote Sensing |
2018 |
|
Weakly supervised |
|
MSI |
MR |
Urban |
Classification |
| 29 |
MsRi-CCF: Multi-scale and rotation-insensitive convolutional channel features for geospatial object detection |
Remote Sensing |
2018 |
|
Weakly supervised |
hybrid |
RGB |
VHR |
Urban |
Classification |
| 28 |
Automatic mapping of thermokarst landforms from remote sensing images using deep learning: A case study in the northeastern Tibetan Plateau |
Remote Sensing |
2018 |
|
semi supervised |
|
RGB |
VHR |
Water |
Classification |
| 27 |
Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images |
ISPRS J |
2018 |
|
Weakly supervised |
CE |
RGB |
VHR |
|
Target detection |
| 26 |
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning |
ISPRS J |
2018 |
|
Transfer Learning |
CE |
RGB |
VHR |
Urban |
target detection |
| 25 |
A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification |
ISPRS J |
2018 |
|
semi supervised |
|
RGB |
VHR |
|
Classification |
| 24 |
A deep learning framework for remote sensing image registration |
ISPRS J |
2018 |
|
Semi supervised |
mse |
|
|
|
registration |
| 23 |
Urban land-use mapping using a deep convolutional neural network with high spatial resolution MSI remote sensing imagery |
RSE |
2018 |
|
semi supervised |
CE |
MSI |
VHR |
Urban |
Classification |
| 22 |
Semi-Supervised Deep Learning Using Pseudo Labels for HSI Image Classification |
IEEE TIP |
2018 |
|
semi supervised |
ce |
HSI |
VHR |
urban |
classification |
| 21 |
An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images |
IEEE GRSL |
2018 |
|
semi supervised |
mse |
RGB |
VHR |
urban |
classification |
| 20 |
Active Learning With Convolutional Neural Networks for HSI Image Classification Using a New Bayesian Approach |
IEEE TGRS |
2018 |
|
semi supervised |
ce |
HSI |
MR |
Agriculture |
classification |
| 19 |
A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution |
IEEE TGRS |
2018 |
Codes |
unsupervised |
Similarity |
RGB |
MR |
urban |
super resolution |
| 18 |
Scene classification based on a hierarchical convolutional sparse auto-encoder for high spatial resolution imagery |
T&F IJRS |
2017 |
|
unsupervised |
reconstruction |
RGB |
VHR |
Urban |
Classification |
| 17 |
Fuzzy AutoEncode based cloud detection for remote sensing imagery |
Remote Sensing |
2017 |
|
unsupervised |
MSE |
MSI |
MR |
Cloud |
Target detection |
| 16 |
Change detection in SAR images based on deep semi-NMF and SVD networks |
Remote Sensing |
2017 |
|
unsupervised |
|
SAR |
MR |
Urban |
change detection |
| 15 |
Adapting Remote Sensing to New Domain with ELM Parameter Transfer |
IEEE GRSL |
2017 |
|
Transfer Learning |
|
RGB |
VHR |
Urban |
Classification |
| 14 |
Generative adversarial networks-based semi-supervised learning for HSI image classification |
Remote Sensing |
2017 |
|
Transfer Learning |
contrastive |
HSI |
VHR |
agriculture |
Classification |
| 13 |
Encoding Spectral and Spatial Context Information for HSI Image Classification |
IEEE GRSL |
2017 |
|
semi supervised |
reconstruction |
HSI |
VHR |
Urban |
Classification |
| 12 |
A new difference image creation method based on deep neural networks for change detection in remote-sensing images |
T&F IJRS |
2017 |
|
unsupervised |
reconstruction |
RGB |
VHR |
Urban |
change detection |
| 11 |
Active Deep Learning for Classification of HSI Images |
IEEE JSTARS |
2017 |
|
semi supervised |
|
HSI |
|
|
classification |
| 10 |
Learning to Diversify Deep Belief Networks for HSI Image Classification |
IEEE TGRS |
2017 |
|
semi supervised |
ce |
HSI |
|
|
classification |
| 9 |
Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network |
IEEE TGRS |
2017 |
|
unsupervised |
hybrid |
|
|
|
change detection |
| 8 |
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification |
IEEE GRSL |
2017 |
|
unsupervised |
hybrid |
RGB |
VHR |
urban |
classification |
| 7 |
A Novel Deep Embedding Network for Building Shape Recognition |
IEEE GRSL |
2017 |
|
Transfer Learning |
hybrid |
RGB |
VHR |
urban |
classification |
| 6 |
Shape-based object extraction in high-resolution remote-sensing images using deep Boltzmann machine |
T&F IJRS |
2016 |
|
unsupervised |
reconstruction |
RGB |
VHR |
Urban |
Classification |
| 5 |
Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images |
ISPRS J |
2016 |
|
Unsupervised |
reconstruction |
|
|
|
Change detection |
| 4 |
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification |
IEEE TGRS |
2016 |
|
semi supervised |
reconstruction |
RGB |
|
|
classification |
| 3 |
Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery |
Remote Sensing |
2015 |
|
Transfer Learning |
|
RGB |
VHR |
Urban |
Classification |
| 2 |
Object recognition in remote sensing images using sparse deep belief networks |
T&F RSL |
2015 |
|
unsupervised |
Other |
RGB |
VHR |
Urban |
target detection |
| 1 |
Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning |
IEEE TGRS |
2015 |
|
Weakly supervised |
mse |
RGB |
VHR |
|
target detection |