OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Geoscience and Remote Sensing Magazine is 38. 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.)

Article	Citations
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox	371
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation	208
A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods	174
Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing	157
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives	146
Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities	145
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms	138
Hyperspectral Anomaly Detection: A survey	107
Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey	101
Low-Rank and Sparse Representation for Hyperspectral Image Processing: A review	101
A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation	94
Land Cover Change Detection Techniques: Very-high-resolution optical images: A review	94
Spectral Variability in Hyperspectral Data Unmixing: A comprehensive review	92
Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework	90
Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions	85
Motion Compensation/Autofocus in Airborne Synthetic Aperture Radar: A Review	82
So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]	73
BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]	70
Use of SAR/InSAR in Mining Deformation Monitoring, Parameter Inversion, and Forward Predictions: A Review	69
Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends	67
Single-Frame Infrared Small-Target Detection: A survey	65
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing	62
Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques	62
InSAR Phase Denoising: A Review of Current Technologies and Future Directions	61
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective	60

Machine Learning in Pansharpening: A benchmark, from shallow to deep networks	60
Self-Supervised Learning in Remote Sensing: A review	60
A Review of Time-Series Interferometric SAR Techniques: A Tutorial for Surface Deformation Analysis	58
Artificial Intelligence In Interferometric Synthetic Aperture Radar Phase Unwrapping: A Review	49
Image Restoration for Remote Sensing: Overview and toolbox	49
Advances and Opportunities in Remote Sensing Image Geometric Registration: A systematic review of state-of-the-art approaches and future research directions	47
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation	46
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities	46
Forest SAR Tomography: Principles and Applications	45
Ground-Based Differential Interferometry SAR: A Review	44
Hyperspectral Image Clustering: Current achievements and future lines	40
From Interferometric to Tomographic SAR: A Review of Synthetic Aperture Radar Tomography-Processing Techniques for Scatterer Unmixing in Urban Areas	40
Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models	38
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives	38