IEEE Journal of Selected Topics in Applied Earth Observations and Remo

Papers
(The H4-Index of IEEE Journal of Selected Topics in Applied Earth Observations and Remo is 45. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images353
YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning133
Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects130
Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation126
A Hyperspectral Image Classification Method Using Multifeature Vectors and Optimized KELM111
An Anchor-Free Detection Method for Ship Targets in High-Resolution SAR Images111
Hyperspectral Image Classification Using a Hybrid 3D-2D Convolutional Neural Networks108
Progress and Challenges in Intelligent Remote Sensing Satellite Systems104
Attention Consistent Network for Remote Sensing Scene Classification99
A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection88
STransFuse: Fusing Swin Transformer and Convolutional Neural Network for Remote Sensing Image Semantic Segmentation87
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID76
Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification75
Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification75
Multireceiver SAS Imagery Based on Monostatic Conversion72
Overview of Underwater Transmission Characteristics of Oceanic LiDAR72
A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment68
A Novel CNN-Based Detector for Ship Detection Based on Rotatable Bounding Box in SAR Images65
Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv365
Validation of Soil Moisture Data Products From the NASA SMAP Mission64
Attention-Gate-Based Encoder–Decoder Network for Automatical Building Extraction64
HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification64
Learning Slimming SAR Ship Object Detector Through Network Pruning and Knowledge Distillation62
Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection62
Reconstruction Bias U-Net for Road Extraction From Optical Remote Sensing Images60
Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v458
A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing56
AGCDetNet:An Attention-Guided Network for Building Change Detection in High-Resolution Remote Sensing Images54
SAR2SAR: A Semi-Supervised Despeckling Algorithm for SAR Images54
GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification53
Comparison Analysis of Five Waveform Decomposition Algorithms for the Airborne LiDAR Echo Signal51
Wildfire Detection From Multisensor Satellite Imagery Using Deep Semantic Segmentation51
Bidirectional 3D Quasi-Recurrent Neural Network for Hyperspectral Image Super-Resolution49
DA-RoadNet: A Dual-Attention Network for Road Extraction From High Resolution Satellite Imagery49
An Introduction to the HydroGNSS GNSS Reflectometry Remote Sensing Mission49
A New Mask R-CNN-Based Method for Improved Landslide Detection49
Multiscale Dual-Branch Residual Spectral–Spatial Network With Attention for Hyperspectral Image Classification48
A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images48
Res2-Unet, a New Deep Architecture for Building Detection From High Spatial Resolution Images47
Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery47
SPANet: Successive Pooling Attention Network for Semantic Segmentation of Remote Sensing Images46
A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors46
Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions46
Axial Cross Attention Meets CNN: Bibranch Fusion Network for Change Detection45
PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting45
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