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 2020-03-01 to 2024-03-01.)
ArticleCitations
Diversity-Infused Network for Unsupervised Few-Shot Remote Sensing Scene Classification842611252
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images246
Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model220
A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window150
SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images149
Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images137
Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification132
Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure114
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification114
Remote Sensing Image Classification Based on a Cross-Attention Mechanism and Graph Convolution103
A Fast and Compact 3-D CNN for Hyperspectral Image Classification103
Automatic Recognition of Soybean Leaf Diseases Using UAV Images and Deep Convolutional Neural Networks100
Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning94
Remote Sensing Image Scene Classification Based on an Enhanced Attention Module77
Multi-Scale Spatial and Channel-wise Attention for Improving Object Detection in Remote Sensing Imagery77
ShipDeNet-20: An Only 20 Convolution Layers and <1-MB Lightweight SAR Ship Detector74
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images72
Multilayer Feature Fusion Network for Scene Classification in Remote Sensing72
An Adaptive Scale Sea Surface Temperature Predicting Method Based on Deep Learning With Attention Mechanism71
Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data71
Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning69
A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting66
Corn Plant Counting Using Deep Learning and UAV Images66
DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification65
Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning64
Prediction of 3-D Ocean Temperature by Multilayer Convolutional LSTM63
Dual-Path Siamese CNN for Hyperspectral Image Classification With Limited Training Samples63
Nearshore Bathymetry From Fusion of Sentinel-2 and ICESat-2 Observations63
Domain Adaption for Fine-Grained Urban Village Extraction From Satellite Images63
MLFcGAN: Multilevel Feature Fusion-Based Conditional GAN for Underwater Image Color Correction62
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images62
A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection61
Implementation of Hybrid Deep Learning Model (LSTM-CNN) for Ionospheric TEC Forecasting Using GPS Data61
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network60
Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert60
Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image60
Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network59
Deep Learning for Multiple-Image Super-Resolution58
Classifier-Constrained Deep Adversarial Domain Adaptation for Cross-Domain Semisupervised Classification in Remote Sensing Images58
Semisupervised Change Detection Using Graph Convolutional Network57
When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification56
A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data55
Generative Adversarial Networks for Classification of Micro-Doppler Signatures of Human Activity55
ISTDU-Net: Infrared Small-Target Detection U-Net54
Infrared Small Target Detection Using Homogeneity-Weighted Local Contrast Measure52
Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification52
A Double-Neighborhood Gradient Method for Infrared Small Target Detection51
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images50
Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images50
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss50
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