IEEE Geoscience and Remote Sensing Letters

Papers
(The H4-Index of IEEE Geoscience and Remote Sensing Letters is 49. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images375
Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model317
SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images191
Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure167
Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images163
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification129
A Fast and Compact 3-D CNN for Hyperspectral Image Classification126
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images120
Remote Sensing Image Classification Based on a Cross-Attention Mechanism and Graph Convolution114
Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning111
Deep Encoder–Decoder Networks for Classification of Hyperspectral and LiDAR Data102
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images96
Remote Sensing Image Scene Classification Based on an Enhanced Attention Module92
ShipDeNet-20: An Only 20 Convolution Layers and <1-MB Lightweight SAR Ship Detector83
Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning80
Multilayer Feature Fusion Network for Scene Classification in Remote Sensing80
Dual-Path Siamese CNN for Hyperspectral Image Classification With Limited Training Samples78
Implementation of Hybrid Deep Learning Model (LSTM-CNN) for Ionospheric TEC Forecasting Using GPS Data75
DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification73
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network73
Nearshore Bathymetry From Fusion of Sentinel-2 and ICESat-2 Observations72
When CNNs Meet Vision Transformer: A Joint Framework for Remote Sensing Scene Classification71
Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert71
A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data69
RISTDnet: Robust Infrared Small Target Detection Network68
A Combined Loss-Based Multiscale Fully Convolutional Network for High-Resolution Remote Sensing Image Change Detection67
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss65
Semisupervised Change Detection Using Graph Convolutional Network65
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images64
Corn Plant Counting Using Deep Learning and UAV Images64
Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification63
A Double-Neighborhood Gradient Method for Infrared Small Target Detection62
ISTDU-Net: Infrared Small-Target Detection U-Net62
Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution62
A Lightweight Faster R-CNN for Ship Detection in SAR Images62
Simple Multiscale UNet for Change Detection With Heterogeneous Remote Sensing Images57
SAR Image Change Detection Based on Multiscale Capsule Network57
Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion55
Semisupervised Classification for Hyperspectral Images Using Graph Attention Networks55
Metric-Learning-Based Deep Hashing Network for Content-Based Retrieval of Remote Sensing Images55
Denoising-Based Multiscale Feature Fusion for Remote Sensing Image Captioning54
Automatic Lithology Identification by Applying LSTM to Logging Data: A Case Study in X Tight Rock Reservoirs53
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network52
A Coarse-to-Fine Two-Stage Attentive Network for Haze Removal of Remote Sensing Images51
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders51
Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features50
Remote Sensing Image Scene Classification With Self-Supervised Paradigm Under Limited Labeled Samples50
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images50
A Machine Learning Scheme for Estimating the Diameter of Reinforcing Bars Using Ground Penetrating Radar49
Pyramid Attention Dilated Network for Aircraft Detection in SAR Images49
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