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 2020-11-01 to 2024-11-01.)
ArticleCitations
Graph Convolutional Networks for Hyperspectral Image Classification1141
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification910
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers564
Remote Sensing Image Change Detection With Transformers444
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification323
Align Deep Features for Oriented Object Detection312
Attentional Local Contrast Networks for Infrared Small Target Detection295
Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification273
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation267
Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification255
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images247
Hyperspectral Image Classification With Attention-Aided CNNs236
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection234
Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval230
CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification230
Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference222
Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation212
Nonoverflow Representation of Electromagnetic Field From Dipole Source in Cylindrical Media With Uniaxial Anisotropy208
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior203
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images203
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification194
An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images187
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning186
Ship Detection in Large-Scale SAR Images Via Spatial Shuffle-Group Enhance Attention184
An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis176
MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery176
Learning Center Probability Map for Detecting Objects in Aerial Images166
Polarization Estimation With Vector Sensor Array in the Underdetermined Case163
An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification160
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening159
Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing157
Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images151
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification150
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoiser Based on Convolutional Neural Network146
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network145
BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection145
Anchor-Free Oriented Proposal Generator for Object Detection143
Super-Resolution Mapping Based on Spatial–Spectral Correlation for Spectral Imagery142
SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection142
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening141
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images140
Hyperspectral Image Denoising Using a 3-D Attention Denoising Network139
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution133
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning131
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning127
DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification126
Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification126
Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering124
SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion122
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding122
Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework119
A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network119
Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations118
Multimodal Fusion Transformer for Remote Sensing Image Classification117
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images116
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote-Sensing Images114
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer113
LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection112
Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework112
RSVQA: Visual Question Answering for Remote Sensing Data111
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding111
ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bitemporal Remote Sensing Images Change Detection111
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery111
TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images110
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks108
Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry108
New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment108
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network108
Infrared Dim and Small Target Detection via Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model107
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images106
Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network104
Fusion of Dual Spatial Information for Hyperspectral Image Classification104
Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based Segmentation and Tracing101
Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses101
FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features101
Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling100
Exploring the Relationship Between 2D/3D Convolution for Hyperspectral Image Super-Resolution99
RRNet: Relational Reasoning Network With Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images98
Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images97
A Fast Neighborhood Grouping Method for Hyperspectral Band Selection97
Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network97
Category-Wise Fusion and Enhancement Learning for Multimodal Remote Sensing Image Semantic Segmentation96
Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks96
Infrared Small Target Detection via Nonconvex Tensor Fibered Rank Approximation95
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline94
The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation93
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification92
Morphological Transformation and Spatial-Logical Aggregation for Tree Species Classification Using Hyperspectral Imagery92
Hybrid Deep-Learning Network for Rapid On-Site Peak Ground Velocity Prediction92
Change Detection on Remote Sensing Images Using Dual-Branch Multilevel Intertemporal Network92
Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image91
Cross-Scene Hyperspectral Image Classification With Discriminative Cooperative Alignment91
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection91
Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN90
Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network90
Landslide Recognition by Deep Convolutional Neural Network and Change Detection90
GAF-Net: Geometric Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic Segmentation90
A Gray Scale Correction Method for Side-Scan Sonar Images Considering Rugged Seafloor90
Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder90
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection90
Deep Multiview Learning for Hyperspectral Image Classification89
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network89
Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images89
Hyperspectral Image Transformer Classification Networks89
Image Reconstruction With Deep CNN for Mirrored Aperture Synthesis89
Deep Hash Learning for Remote Sensing Image Retrieval89
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders88
Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection87
RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition Tasks87
Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks86
Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation85
SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification84
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection84
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network84
Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification83
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image83
Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network83
Ghostnet for Hyperspectral Image Classification83
Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions83
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification83
An Empirical Study of Remote Sensing Pretraining82
SPNet: Siamese-Prototype Network for Few-Shot Remote Sensing Image Scene Classification82
Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition82
ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery80
Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery80
Feedback Attention-Based Dense CNN for Hyperspectral Image Classification80
Hyperspectral Band Selection via Optimal Neighborhood Reconstruction80
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection80
TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images79
IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial–Temporal Tensor Model78
A Cascade Rotated Anchor-Aided Detector for Ship Detection in Remote Sensing Images78
L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image78
CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence78
Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations77
Enhanced Feature Pyramid Network With Deep Semantic Embedding for Remote Sensing Scene Classification77
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery77
ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps77
Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images77
GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings77
Hyperspectral Anomaly Detection With Robust Graph Autoencoders76
Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model76
Dual-Aligned Oriented Detector76
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization75
Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling75
Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations74
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification74
High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network74
CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes73
Object Saliency-Aware Dual Regularized Correlation Filter for Real-Time Aerial Tracking72
A Climate Adaptation Device-Free Sensing Approach for Target Recognition in Foliage Environments72
Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network72
Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China72
Siamese Transformer Network for Hyperspectral Image Target Detection71
Deep Subpixel Mapping Based on Semantic Information Modulated Network for Urban Land Use Mapping71
RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification71
Validation and Quality Assessment of the ECOSTRESS Level-2 Land Surface Temperature and Emissivity Product71
Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images71
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast71
BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection71
Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection70
AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation70
Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification70
Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images70
Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks70
Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images70
RingMo: A Remote Sensing Foundation Model With Masked Image Modeling69
Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification69
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification69
Two-Branch Attention Adversarial Domain Adaptation Network for Hyperspectral Image Classification68
SAR Image Despeckling by Noisy Reference-Based Deep Learning Method68
Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks68
Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images68
A Multiscale Framework With Unsupervised Learning for Remote Sensing Image Registration68
Interior Attention-Aware Network for Infrared Small Target Detection68
Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification67
Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance67
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images67
An Underwater Image Vision Enhancement Algorithm Based on Contour Bougie Morphology67
Graph-Feature-Enhanced Selective Assignment Network for Hyperspectral and Multispectral Data Classification67
Two-Stream Convolutional Networks for Hyperspectral Target Detection67
Unsupervised Pansharpening Based on Self-Attention Mechanism67
Real-Time Processing of Spaceborne SAR Data With Nonlinear Trajectory Based on Variable PRF67
Changer: Feature Interaction is What You Need for Change Detection67
Point Cloud Registration Based on One-Point RANSAC and Scale-Annealing Biweight Estimation67
Edge and Corner Awareness-Based Spatial–Temporal Tensor Model for Infrared Small-Target Detection66
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution66
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network66
Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model66
A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network66
Hyperspectral Imagery Classification Based on Contrastive Learning66
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval66
Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection66
Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification66
Coupled Temporal Variation Information Estimation and Resolution Enhancement for Remote Sensing Spatial–Temporal–Spectral Fusion65
Building Extraction With Vision Transformer65
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion65
EikoNet: Solving the Eikonal Equation With Deep Neural Networks65
Mutual Attention Inception Network for Remote Sensing Visual Question Answering65
CDLNet: Collaborative Dictionary Learning Network for Remote Sensing Image Scene Classification65
Multiscale Feature Enhancement Network for Salient Object Detection in Optical Remote Sensing Images65
Remote-Sensing Scene Classification via Multistage Self-Guided Separation Network65
Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery64
Multi-Objective CNN-Based Algorithm for SAR Despeckling64
EVAA—Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles64
Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification64
Truncation Cross Entropy Loss for Remote Sensing Image Captioning64
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval64
Unsupervised Recurrent Hyperspectral Imagery Super-Resolution Using Pixel-Aware Refinement64
Multiperson Continuous Tracking and Identification From mm-Wave Micro-Doppler Signatures63
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification63
RSDehazeNet: Dehazing Network With Channel Refinement for Multispectral Remote Sensing Images63
Few-Shot Object Detection on Remote Sensing Images63
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images63
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery62
Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution62
A Similarity-Based Ranking Method for Hyperspectral Band Selection62
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)62
SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning62
Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification61
Selection of Optimal Building Facade Texture Images From UAV-Based Multiple Oblique Image Flows61
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs61
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs61
SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal61
ISNet: Towards Improving Separability for Remote Sensing Image Change Detection61
Structure Consistency-Based Graph for Unsupervised Change Detection With Homogeneous and Heterogeneous Remote Sensing Images61
Perturbation-Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification61
A Novel CNN-Based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box61
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition61
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval60
Target Detection Through Tree-Structured Encoding for Hyperspectral Images60
Multiscale U-Shaped CNN Building Instance Extraction Framework With Edge Constraint for High-Spatial-Resolution Remote Sensing Imagery60
Transformer-Based Multistage Enhancement for Remote Sensing Image Super-Resolution60
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images60
A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection60
Prototype-CNN for Few-Shot Object Detection in Remote Sensing Images59
Multisource Remote Sensing Data Classification With Graph Fusion Network59
Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization59
Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images59
Deep Learning Seismic Random Noise Attenuation via Improved Residual Convolutional Neural Network59
Edge-Guided Recurrent Convolutional Neural Network for Multitemporal Remote Sensing Image Building Change Detection59
Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing59
AEnet: Automatic Picking of P-Wave First Arrivals Using Deep Learning58
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising58
Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search58
Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point58
Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning58
Point-Based Estimator for Arbitrary-Oriented Object Detection in Aerial Images58
Multiscale CNN Based on Component Analysis for SAR ATR58
Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing57
Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data57
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