IEEE Geoscience and Remote Sensing Magazine

Papers
(The H4-Index of IEEE Geoscience and Remote Sensing Magazine is 35. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox396
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation235
Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities195
A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods185
Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing168
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives165
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms149
Hyperspectral Anomaly Detection: A survey131
Low-Rank and Sparse Representation for Hyperspectral Image Processing: A review121
Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey118
Spectral Variability in Hyperspectral Data Unmixing: A comprehensive review113
Land Cover Change Detection Techniques: Very-high-resolution optical images: A review106
Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions102
A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation101
Motion Compensation/Autofocus in Airborne Synthetic Aperture Radar: A Review91
Single-Frame Infrared Small-Target Detection: A survey90
Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends81
BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]77
So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]77
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing75
Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques73
Self-Supervised Learning in Remote Sensing: A review73
Machine Learning in Pansharpening: A benchmark, from shallow to deep networks71
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective67
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities56
Artificial Intelligence In Interferometric Synthetic Aperture Radar Phase Unwrapping: A Review56
Image Restoration for Remote Sensing: Overview and toolbox56
Advances and Opportunities in Remote Sensing Image Geometric Registration: A systematic review of state-of-the-art approaches and future research directions53
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation52
Hyperspectral Image Clustering: Current achievements and future lines50
Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models42
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives41
Methods for Small, Weak Object Detection in Optical High-Resolution Remote Sensing Images: A survey of advances and challenges39
Toward a Collective Agenda on AI for Earth Science Data Analysis39
Spaceborne Synthetic Aperture Radar Imaging Algorithms: An overview35
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