IEEE Transactions on Geoscience and Remote Sensing

Papers
(The H4-Index of IEEE Transactions on Geoscience and Remote Sensing is 86. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Graph Convolutional Networks for Hyperspectral Image Classification995
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification771
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers415
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification271
Remote Sensing Image Change Detection With Transformers265
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification263
Spectral–Spatial Attention Network for Hyperspectral Image Classification237
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification229
Align Deep Features for Oriented Object Detection216
Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification213
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning209
Deep-Learning Inversion of Seismic Data208
Attentional Local Contrast Networks for Infrared Small Target Detection201
Hyperspectral Image Classification With Attention-Aided CNNs195
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs194
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation193
Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network189
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images181
Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification179
FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery176
Optical Remote Sensing Image Change Detection Based on Attention Mechanism and Image Difference169
Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification169
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection161
An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images159
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification159
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning155
A Feature Difference Convolutional Neural Network-Based Change Detection Method154
Ship Detection in Large-Scale SAR Images Via Spatial Shuffle-Group Enhance Attention154
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image150
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images147
CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification145
Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval144
Nonoverflow Representation of Electromagnetic Field From Dipole Source in Cylindrical Media With Uniaxial Anisotropy138
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening135
MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery134
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture131
Learning Center Probability Map for Detecting Objects in Aerial Images130
An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis126
Super-Resolution Mapping Based on Spatial–Spectral Correlation for Spectral Imagery126
Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing123
Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization123
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification123
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification122
Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior121
Deep Learning Inversion of Electrical Resistivity Data118
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images118
Hyperspectral Image Denoising Using a 3-D Attention Denoising Network117
Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network115
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening114
Distributed Acoustic Sensing Vertical Seismic Profile Data Denoiser Based on Convolutional Neural Network113
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning113
Local Similarity-Based Spatial–Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering112
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding112
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning111
Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation111
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification111
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding110
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection110
What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs110
Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition109
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network109
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images102
DLA-MatchNet for Few-Shot Remote Sensing Image Scene Classification102
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution100
Polarization Estimation With Vector Sensor Array in the Underdetermined Case100
Building a Series of Consistent Night-Time Light Data (1992–2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS99
Transceive Beamforming With Accurate Nulling in FDA-MIMO Radar for Imaging97
Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images96
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images96
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks96
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote-Sensing Images94
Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification94
Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation93
From W-Net to CDGAN: Bitemporal Change Detection via Deep Learning Techniques93
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network92
An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification92
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture91
Distributed Scatterer Interferometry With the Refinement of Spatiotemporal Coherence90
Fusion of Dual Spatial Information for Hyperspectral Image Classification89
Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification89
Anchor-Free Oriented Proposal Generator for Object Detection89
Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry88
SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion87
Coupled Adversarial Training for Remote Sensing Image Super-Resolution87
A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network86
New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment86
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