IEEE Geoscience and Remote Sensing Letters

Papers
(The H4-Index of IEEE Geoscience and Remote Sensing Letters is 50. 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
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images289
Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model249
A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window167
SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images162
Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images146
Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification133
Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure127
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification118
A Fast and Compact 3-D CNN for Hyperspectral Image Classification111
Remote Sensing Image Classification Based on a Cross-Attention Mechanism and Graph Convolution109
Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks101
Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning98
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images82
Remote Sensing Image Scene Classification Based on an Enhanced Attention Module81
Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data80
ShipDeNet-20: An Only 20 Convolution Layers and <1-MB Lightweight SAR Ship Detector77
An Adaptive Scale Sea Surface Temperature Predicting Method Based on Deep Learning With Attention Mechanism76
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images74
Multilayer Feature Fusion Network for Scene Classification in Remote Sensing73
Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning72
DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification70
Dual-Path Siamese CNN for Hyperspectral Image Classification With Limited Training Samples70
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network67
Corn Plant Counting Using Deep Learning and UAV Images67
Prediction of 3-D Ocean Temperature by Multilayer Convolutional LSTM66
Implementation of Hybrid Deep Learning Model (LSTM-CNN) for Ionospheric TEC Forecasting Using GPS Data65
A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection65
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning65
Nearshore Bathymetry From Fusion of Sentinel-2 and ICESat-2 Observations64
When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification63
Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert63
Domain Adaption for Fine-Grained Urban Village Extraction From Satellite Images63
MLFcGAN: Multilevel Feature Fusion-Based Conditional GAN for Underwater Image Color Correction63
Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network61
Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image61
Semisupervised Change Detection Using Graph Convolutional Network61
Deep Learning for Multiple-Image Super-Resolution60
Classifier-Constrained Deep Adversarial Domain Adaptation for Cross-Domain Semisupervised Classification in Remote Sensing Images59
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images58
A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data58
RISTDnet: Robust Infrared Small Target Detection Network57
ISTDU-Net: Infrared Small-Target Detection U-Net56
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss55
A Double-Neighborhood Gradient Method for Infrared Small Target Detection54
Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification54
A Lightweight Faster R-CNN for Ship Detection in SAR Images54
Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images51
Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features50
Complex-Valued 3-D Convolutional Neural Network for PolSAR Image Classification50
Residual Encoder–Decoder Conditional Generative Adversarial Network for Pansharpening50
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