IEEE Transactions on Geoscience and Remote Sensing

Papers
(The TQCC of IEEE Transactions on Geoscience and Remote Sensing is 10. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Graph Convolutional Networks for Hyperspectral Image Classification1045
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification838
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers474
Remote Sensing Image Change Detection With Transformers323
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification292
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification285
Spectral–Spatial Attention Network for Hyperspectral Image Classification250
Align Deep Features for Oriented Object Detection244
Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification238
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification233
Attentional Local Contrast Networks for Infrared Small Target Detection230
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning226
Hyperspectral Image Classification With Attention-Aided CNNs212
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs210
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation209
Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification206
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images197
Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference192
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection190
FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery186
Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification184
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification179
An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images169
A Feature Difference Convolutional Neural Network-Based Change Detection Method169
CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification168
Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval168
Ship Detection in Large-Scale SAR Images Via Spatial Shuffle-Group Enhance Attention166
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images165
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning162
Nonoverflow Representation of Electromagnetic Field From Dipole Source in Cylindrical Media With Uniaxial Anisotropy159
MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery148
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture145
Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation143
Learning Center Probability Map for Detecting Objects in Aerial Images142
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification139
An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis138
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening138
Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing136
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior136
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification130
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images129
Super-Resolution Mapping Based on Spatial–Spectral Correlation for Spectral Imagery129
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoiser Based on Convolutional Neural Network125
Hyperspectral Image Denoising Using a 3-D Attention Denoising Network124
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network123
Deep Learning Inversion of Electrical Resistivity Data122
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening121
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning121
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning118
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification118
Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network117
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection117
Polarization Estimation With Vector Sensor Array in the Underdetermined Case116
Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images115
DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification115
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding114
Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition114
Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering114
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding113
An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification112
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution112
Anchor-Free Oriented Proposal Generator for Object Detection109
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images108
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images105
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network102
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote-Sensing Images101
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks101
Transceive Beamforming With Accurate Nulling in FDA-MIMO Radar for Imaging100
Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification99
Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation98
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture96
Distributed Scatterer Interferometry With the Refinement of Spatiotemporal Coherence95
A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network95
SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion95
Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry94
Fusion of Dual Spatial Information for Hyperspectral Image Classification94
Coupled Adversarial Training for Remote Sensing Image Super-Resolution93
New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment92
Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework91
Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network91
SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection91
Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations90
Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling90
RSVQA: Visual Question Answering for Remote Sensing Data89
Infrared Dim and Small Target Detection via Multiple Subspace Learning and Spatial-Temporal Patch-Tensor Model89
Exploring the Relationship Between 2D/3D Convolution for Hyperspectral Image Super-Resolution87
Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based Segmentation and Tracing87
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks86
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery85
FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features85
Dense Dilated Convolutions’ Merging Network for Land Cover Classification85
Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image85
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification84
Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images84
Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images84
Fast and Latent Low-Rank Subspace Clustering for Hyperspectral Band Selection84
Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework84
Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images83
RRNet: Relational Reasoning Network With Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images83
A Fast Neighborhood Grouping Method for Hyperspectral Band Selection83
TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation83
Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses83
Cross-Scene Hyperspectral Image Classification With Discriminative Cooperative Alignment82
Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network82
Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks82
Infrared Small Target Detection via Nonconvex Tensor Fibered Rank Approximation82
Well-Logging Constrained Seismic Inversion Based on Closed-Loop Convolutional Neural Network80
Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition79
Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation79
Transfer Learning for SAR Image Classification Via Deep Joint Distribution Adaptation Networks79
Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization78
TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images77
Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN77
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images77
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification77
Deep Multiview Learning for Hyperspectral Image Classification76
Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery76
Deep Hash Learning for Remote Sensing Image Retrieval76
Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks76
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline76
Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network75
Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests75
A Cascade Rotated Anchor-Aided Detector for Ship Detection in Remote Sensing Images75
Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms75
RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition Tasks75
Category-Wise Fusion and Enhancement Learning for Multimodal Remote Sensing Image Semantic Segmentation75
Ghostnet for Hyperspectral Image Classification75
ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bitemporal Remote Sensing Images Change Detection74
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders74
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image74
Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder74
Landslide Recognition by Deep Convolutional Neural Network and Change Detection74
Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network74
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network73
Hybrid Deep-Learning Network for Rapid On-Site Peak Ground Velocity Prediction73
Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network73
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification73
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images73
Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network71
Image Reconstruction With Deep CNN for Mirrored Aperture Synthesis71
Feedback Attention-Based Dense CNN for Hyperspectral Image Classification71
ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery70
Lightweight Spectral–Spatial Squeeze-and- Excitation Residual Bag-of-Features Learning for Hyperspectral Classification70
Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations70
The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation70
LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection70
Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection70
Hyperspectral Band Selection via Optimal Neighborhood Reconstruction70
TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images69
An Improved Rainfall Forecasting Model Based on GNSS Observations69
Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection69
BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection69
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance69
Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images69
Saliency-Guided Single Shot Multibox Detector for Target Detection in SAR Images69
Hyperspectral Image Transformer Classification Networks69
Enhanced Feature Pyramid Network With Deep Semantic Embedding for Remote Sensing Scene Classification68
Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification68
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection68
Object Saliency-Aware Dual Regularized Correlation Filter for Real-Time Aerial Tracking68
CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence67
Real-Time Processing of Spaceborne SAR Data With Nonlinear Trajectory Based on Variable PRF67
Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations67
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection67
Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network67
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network67
Hyperspectral Image Super-Resolution by Band Attention Through Adversarial Learning66
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization66
Multimodal Fusion Transformer for Remote Sensing Image Classification66
Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification66
GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings66
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection66
CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes66
SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification66
Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection65
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification65
SPNet: Siamese-Prototype Network for Few-Shot Remote Sensing Image Scene Classification65
Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images65
ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps65
High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network65
Relation Network for Multilabel Aerial Image Classification64
L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image64
Dual-Aligned Oriented Detector64
Deep Subpixel Mapping Based on Semantic Information Modulated Network for Urban Land Use Mapping64
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer63
Reweighted Tensor Factorization Method for SAR Narrowband and Wideband Interference Mitigation Using Smoothing Multiview Tensor Model63
Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions63
Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling63
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast63
Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification62
Temperature-Based and Radiance-Based Validation of the Collection 6 MYD11 and MYD21 Land Surface Temperature Products Over Barren Surfaces in Northwestern China62
Pansharpening: Context-Based Generalized Laplacian Pyramids by Robust Regression61
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images61
Omnidirectional Motion Classification With Monostatic Radar System Using Micro-Doppler Signatures60
Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks60
Video SAR Moving Target Indication Using Deep Neural Network60
RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification60
Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images60
Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery60
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery59
Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture59
AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation59
EikoNet: Solving the Eikonal Equation With Deep Neural Networks59
Semisupervised Adaptive Ladder Network for Remote Sensing Image Change Detection59
A Rotational Libra R-CNN Method for Ship Detection59
Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images59
Deep Cross-Modal Image–Voice Retrieval in Remote Sensing58
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)58
Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization58
Siamese Transformer Network for Hyperspectral Image Target Detection58
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images58
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs58
Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model58
Selection of Optimal Building Facade Texture Images From UAV-Based Multiple Oblique Image Flows58
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs58
A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images57
A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network57
Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance57
Unsupervised Pansharpening Based on Self-Attention Mechanism57
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network57
SAR Image Despeckling by Noisy Reference-Based Deep Learning Method57
Hyperspectral Anomaly Detection With Robust Graph Autoencoders57
Unsupervised Recurrent Hyperspectral Imagery Super-Resolution Using Pixel-Aware Refinement57
Mutual Attention Inception Network for Remote Sensing Visual Question Answering56
Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification56
Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification56
Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification56
Truncation Cross Entropy Loss for Remote Sensing Image Captioning56
Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks56
IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial–Temporal Tensor Model56
Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point56
Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification56
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval56
Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation55
Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification55
Physics-Constrained Deep Learning of Geomechanical Logs55
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images55
An Empirical Study of Remote Sensing Pretraining55
Hyperspectral Imagery Classification Based on Contrastive Learning55
Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising55
Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection55
Multi-Objective CNN-Based Algorithm for SAR Despeckling55
Compatibility-Guided Sampling Consensus for 3-D Point Cloud Registration54
Point Cloud Registration Based on One-Point RANSAC and Scale-Annealing Biweight Estimation54
A Novel CNN-Based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box54
Edge and Corner Awareness-Based Spatial–Temporal Tensor Model for Infrared Small-Target Detection54
Point-Based Estimator for Arbitrary-Oriented Object Detection in Aerial Images54
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition54
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution54
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification54
0.063987016677856