IEEE Transactions on Geoscience and Remote Sensing

Papers
(The H4-Index of IEEE Transactions on Geoscience and Remote Sensing is 87. 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
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening138
An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis138
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior136
Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing136
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
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