IEEE Transactions on Geoscience and Remote Sensing

Papers
(The median citation count of IEEE Transactions on Geoscience and Remote Sensing is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
Graph Convolutional Networks for Hyperspectral Image Classification1075
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification861
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers505
Remote Sensing Image Change Detection With Transformers369
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification302
Align Deep Features for Oriented Object Detection268
Attentional Local Contrast Networks for Infrared Small Target Detection265
Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification255
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning237
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation236
Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification226
Hyperspectral Image Classification With Attention-Aided CNNs224
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs221
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images217
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection213
Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference204
Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification190
Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval189
CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification189
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification184
A Feature Difference Convolutional Neural Network-Based Change Detection Method184
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images178
Nonoverflow Representation of Electromagnetic Field From Dipole Source in Cylindrical Media With Uniaxial Anisotropy176
An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images175
Ship Detection in Large-Scale SAR Images Via Spatial Shuffle-Group Enhance Attention173
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning171
Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation170
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior162
MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery159
Learning Center Probability Map for Detecting Objects in Aerial Images154
An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis153
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture151
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening145
Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing144
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification143
Super-Resolution Mapping Based on Spatial–Spectral Correlation for Spectral Imagery137
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoiser Based on Convolutional Neural Network136
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification135
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images134
Polarization Estimation With Vector Sensor Array in the Underdetermined Case133
Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images132
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network129
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening129
An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification128
Deep Learning Inversion of Electrical Resistivity Data127
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning126
Hyperspectral Image Denoising Using a 3-D Attention Denoising Network125
Anchor-Free Oriented Proposal Generator for Object Detection125
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning123
DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification121
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection121
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution121
Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering118
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding117
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding117
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images111
SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion111
SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection109
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images109
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote-Sensing Images108
A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network106
Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification103
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network103
Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations103
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks102
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture101
Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework99
Fusion of Dual Spatial Information for Hyperspectral Image Classification99
New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment97
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery96
Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network96
Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework96
Infrared Dim and Small Target Detection via Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model95
RSVQA: Visual Question Answering for Remote Sensing Data95
Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry94
Infrared Small Target Detection via Nonconvex Tensor Fibered Rank Approximation93
Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based Segmentation and Tracing93
FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features93
BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection92
Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling92
Exploring the Relationship Between 2D/3D Convolution for Hyperspectral Image Super-Resolution92
Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images90
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks90
A Fast Neighborhood Grouping Method for Hyperspectral Band Selection90
Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses90
Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks89
Dense Dilated Convolutions’ Merging Network for Land Cover Classification89
Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images89
Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network89
Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image88
TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images87
ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bitemporal Remote Sensing Images Change Detection87
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification87
RRNet: Relational Reasoning Network With Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images86
Cross-Scene Hyperspectral Image Classification With Discriminative Cooperative Alignment86
Well-Logging Constrained Seismic Inversion Based on Closed-Loop Convolutional Neural Network84
Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder84
Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation83
Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images83
LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection83
Hybrid Deep-Learning Network for Rapid On-Site Peak Ground Velocity Prediction83
Deep Hash Learning for Remote Sensing Image Retrieval82
Transfer Learning for SAR Image Classification Via Deep Joint Distribution Adaptation Networks82
Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN82
Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition82
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline82
Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization81
Category-Wise Fusion and Enhancement Learning for Multimodal Remote Sensing Image Semantic Segmentation81
Multimodal Fusion Transformer for Remote Sensing Image Classification81
Deep Multiview Learning for Hyperspectral Image Classification81
A Cascade Rotated Anchor-Aided Detector for Ship Detection in Remote Sensing Images80
Landslide Recognition by Deep Convolutional Neural Network and Change Detection79
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image79
Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network79
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification79
Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network79
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network78
Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms78
RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition Tasks78
Image Reconstruction With Deep CNN for Mirrored Aperture Synthesis78
Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery78
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection78
Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks78
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders78
Ghostnet for Hyperspectral Image Classification78
The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation77
Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network77
TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images77
SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification77
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer76
Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images76
Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network76
Hyperspectral Image Transformer Classification Networks76
ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery76
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification76
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection75
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection75
Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection75
SPNet: Siamese-Prototype Network for Few-Shot Remote Sensing Image Scene Classification74
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network74
Feedback Attention-Based Dense CNN for Hyperspectral Image Classification74
ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps73
Hyperspectral Band Selection via Optimal Neighborhood Reconstruction73
CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence73
Morphological Transformation and Spatial-Logical Aggregation for Tree Species Classification Using Hyperspectral Imagery72
Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations72
Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection72
Enhanced Feature Pyramid Network With Deep Semantic Embedding for Remote Sensing Scene Classification72
CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes72
Lightweight Spectral–Spatial Squeeze-and- Excitation Residual Bag-of-Features Learning for Hyperspectral Classification71
An Improved Rainfall Forecasting Model Based on GNSS Observations71
Object Saliency-Aware Dual Regularized Correlation Filter for Real-Time Aerial Tracking71
L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image71
High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network70
Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling70
Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network70
Dual-Aligned Oriented Detector70
Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations70
Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions70
GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings70
Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification69
Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification69
Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification68
Real-Time Processing of Spaceborne SAR Data With Nonlinear Trajectory Based on Variable PRF68
Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images68
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization68
An Empirical Study of Remote Sensing Pretraining67
Relation Network for Multilabel Aerial Image Classification67
Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection67
Deep Subpixel Mapping Based on Semantic Information Modulated Network for Urban Land Use Mapping67
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast66
Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks66
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery66
Hyperspectral Anomaly Detection With Robust Graph Autoencoders65
Deep Cross-Modal Image–Voice Retrieval in Remote Sensing64
Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China64
RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification64
Siamese Transformer Network for Hyperspectral Image Target Detection64
Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images64
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images63
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection63
SAR Image Despeckling by Noisy Reference-Based Deep Learning Method63
Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection63
Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery62
A Climate Adaptation Device-Free Sensing Approach for Target Recognition in Foliage Environments62
Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images62
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images62
Unsupervised Pansharpening Based on Self-Attention Mechanism62
EikoNet: Solving the Eikonal Equation With Deep Neural Networks62
AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation62
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval62
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images62
Video SAR Moving Target Indication Using Deep Neural Network62
Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance62
Pansharpening: Context-Based Generalized Laplacian Pyramids by Robust Regression61
Truncation Cross Entropy Loss for Remote Sensing Image Captioning61
IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial–Temporal Tensor Model61
A Multiscale Framework With Unsupervised Learning for Remote Sensing Image Registration61
Unsupervised Recurrent Hyperspectral Imagery Super-Resolution Using Pixel-Aware Refinement61
Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection61
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification61
A Gray Scale Correction Method for Side-Scan Sonar Images Considering Rugged Seafloor60
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution60
A Rotational Libra R-CNN Method for Ship Detection60
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs60
Compatibility-Guided Sampling Consensus for 3-D Point Cloud Registration60
A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network60
Mutual Attention Inception Network for Remote Sensing Visual Question Answering60
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)60
Selection of Optimal Building Facade Texture Images From UAV-Based Multiple Oblique Image Flows60
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs60
Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network59
Two-Stream Convolutional Networks for Hyperspectral Target Detection59
Multi-Objective CNN-Based Algorithm for SAR Despeckling59
Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model59
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network59
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification58
Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification58
Hyperspectral Imagery Classification Based on Contrastive Learning58
Edge and Corner Awareness-Based Spatial–Temporal Tensor Model for Infrared Small-Target Detection58
A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images58
Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization58
Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification58
Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks58
Graph-Feature-Enhanced Selective Assignment Network for Hyperspectral and Multispectral Data Classification58
Point Cloud Registration Based on One-Point RANSAC and Scale-Annealing Biweight Estimation57
Physics-Constrained Deep Learning of Geomechanical Logs57
Building Extraction With Vision Transformer57
Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point57
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval57
Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search57
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition57
Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network56
Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification56
GAF-Net: Geometric Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic Segmentation56
Prototype-CNN for Few-Shot Object Detection in Remote Sensing Images56
CNN-Based Super-Resolution of Hyperspectral Images56
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval56
A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection56
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising56
Perturbation-Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification56
Validation and Quality Assessment of the ECOSTRESS Level-2 Land Surface Temperature and Emissivity Product56
Point-Based Estimator for Arbitrary-Oriented Object Detection in Aerial Images55
Multisource Remote Sensing Data Classification With Graph Fusion Network55
Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval55
Multiperson Continuous Tracking and Identification From mm-Wave Micro-Doppler Signatures55
RSDehazeNet: Dehazing Network With Channel Refinement for Multispectral Remote Sensing Images55
Multiscale Feature Enhancement Network for Salient Object Detection in Optical Remote Sensing Images55
A Novel CNN-Based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box55
Remote-Sensing Scene Classification via Multistage Self-Guided Separation Network55
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