OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Geoscience and Remote Sensing Magazine is 37. 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.)

Article	Citations
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox	415
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation	258
Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities	241
A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods	202
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives	186
Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing	182
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms	165
Hyperspectral Anomaly Detection: A survey	155
Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey	145
Spectral Variability in Hyperspectral Data Unmixing: A comprehensive review	132
Low-Rank and Sparse Representation for Hyperspectral Image Processing: A review	131
Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions	118
Land Cover Change Detection Techniques: Very-high-resolution optical images: A review	110
A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation	106
Self-Supervised Learning in Remote Sensing: A review	104
Single-Frame Infrared Small-Target Detection: A survey	102
Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends	94
BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]	91
Motion Compensation/Autofocus in Airborne Synthetic Aperture Radar: A Review	90
Machine Learning in Pansharpening: A benchmark, from shallow to deep networks	85
Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques	80
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective	79
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing	78
Image Restoration for Remote Sensing: Overview and toolbox	69
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities	68

Artificial Intelligence In Interferometric Synthetic Aperture Radar Phase Unwrapping: A Review	63
Hyperspectral Image Clustering: Current achievements and future lines	60
Advances and Opportunities in Remote Sensing Image Geometric Registration: A systematic review of state-of-the-art approaches and future research directions	57
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation	56
Methods for Small, Weak Object Detection in Optical High-Resolution Remote Sensing Images: A survey of advances and challenges	49
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives	46
Synthetic Aperture Radar Image Statistical Modeling: Part One-Single-Pixel Statistical Models	45
Toward a Collective Agenda on AI for Earth Science Data Analysis	43
Spaceborne Synthetic Aperture Radar Imaging Algorithms: An overview	40
Full-Resolution Quality Assessment of Pansharpening: Theoretical and hands-on approaches	39
Remote Sensing Data Fusion With Generative Adversarial Networks: State-of-the-art methods and future research directions	39
Contactless Ground Penetrating Radar Imaging: State of the art, challenges, and microwave tomography-based data processing	38