Remote Sensing Image Processing
A section of Remote Sensing (ISSN 2072-4292).
Section Information
Recent developments in Earth observation technology have significantly diversified remote sensing images. Large-scale remote sensing images, characterized by their extensive volume and coverage of geographic areas, are increasingly accessible. Therefore, how to automatically, accurately, and efficiently process remote sensing images has been a primary research focus in the remote sensing community.
For decades, this field has attracted considerable attention and witnessed remarkable advancements. However, various challenges still remain, spurring continuous efforts and contributions to enhance, analyze, and understand remote sensing images via advanced image processing techniques.
Submissions addressing theories and applications of remote sensing image processing are welcome in this section. Manuscripts not focused on remote sensing imagery will not be accepted for review. Potential topics include but are not limited to:
- Image enhancement and restoration;
- Remote sensing image classification and segmentation;
- Optical/Hyperspectral/Multispectral/Infrared/Radar/Sonar image analysis;
- Remote sensing object-based image understanding;
- Object/change/anomaly detection;
- Geospatial image fusion;
- Multi-modal/multi-sensor/multi-temporal data fusion;
- Machine learning for remote sensing image processing;
- Image augmentation techniques;
- Image registration, stitching and georeferencing;
- Remote sensing image compression.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Remote Sensing Applications Along the Dead Sea Fault: From the Red Sea to Anatolia (Deadline: 15 June 2026)
- Advanced Methods and Applications in SAR (Synthetic Aperture Radar) Image Target Detection and Recognition (Deadline: 15 June 2026)
- Innovations in Hyperspectral Image Processing: Advancing Image Generation, Denoising, Fusion Techniques and Beyond (Deadline: 28 June 2026)
- Combination of LiDAR and UAS Data for Geological and Environmental Applications (Deadline: 30 June 2026)
- Intelligent Processing of 3D Point Clouds for Scene Understanding and Modelling (Deadline: 30 June 2026)
- Advances in Scene Understanding with Hyperspectral Remote Sensing: From Data Benchmarks to Applications (Deadline: 30 June 2026)
- Deep Learning Techniques for Pixel Classification and Image Retrieval in Remote Sensing (Deadline: 30 June 2026)
- Advances in Deep Learning and Machine Learning for Remote Sensing Image Analysis (Deadline: 30 June 2026)
- Multi-Object Detection and Feature Extraction of Remote Sensing Images (Deadline: 30 June 2026)
- Image Processing and Analysis: Trends in Registration, Data Fusion, 3D Reconstruction, and Change Detection (Fourth Edition) (Deadline: 30 June 2026)
- Urban Sprawl and Urban Sustainability: High-Resolution Remote-Sensing Image Analytics (Deadline: 30 June 2026)
- Emulation and Surrogate Modeling in Remote Sensing: Advances, Challenges and Applications (Deadline: 30 June 2026)
- Explainable AI Methods for Remote Sensing Images Interpretation (Deadline: 30 June 2026)
- Hyperspectral Remote Sensing Image Analysis via Advanced Deep Learning and Computer Vision (Deadline: 30 June 2026)
- SAR in Big Data Era III (Deadline: 10 July 2026)
- Temporal and Spatial Analysis of Multi-Source Remote Sensing Images (Deadline: 10 July 2026)
- Neural Networks and Deep Learning for Satellite Image Processing (Deadline: 15 July 2026)
- Applications and New Trends in Metrology for Radar/LiDAR-Based Systems (Third Edition) (Deadline: 15 July 2026)
- Lightweight Artificial-Intelligence Techniques for Remote-Sensing Image Processing (Deadline: 15 July 2026)
- Recent Advances in Object Detection with Hyperspectral Remote Sensing Data (Deadline: 28 July 2026)
- Intelligent Processing and Analysis of Multi-Modal Remote Sensing Data (Deadline: 30 July 2026)
- Antarctic Remote Sensing Applications (Second Edition) (Deadline: 31 July 2026)
- Emerging Technologies in Hyperspectral Image 3A—Acquisition, Analysis and Application (Deadline: 31 July 2026)
- Advanced Deep Learning Techniques for Information Extraction and Analysis of Remote Sensing Imagery (Deadline: 31 July 2026)
- Advances in Computer Vision and Machine Learning Applications on Remote Sensing Images (Deadline: 31 July 2026)
- Intelligent Remote Sensing Information Extraction (Deadline: 31 July 2026)
- Advanced Image Processing Algorithms for Object Detection and Tracking in Aerial and Satellite Imagery (Deadline: 31 July 2026)
- Machine Learning and Deep Learning Applied to Remote Sensing Image Analysis (Deadline: 31 July 2026)
- High-Resolution Remote Sensing Image Processing and Applications (Deadline: 31 July 2026)
- Recent Advances in Hyperspectral Remote Sensing: Theories, Technologies and Applications (Deadline: 31 July 2026)
- Reviews in Remote Sensing Image Processing: Methods, Architectures, and Applications (Deadline: 31 July 2026)
- Multimodal AI-Empowered Remote Sensing: Image Fusion and Analysis (Deadline: 31 July 2026)
- Object Detection in Remote Sensing Imagery (Deadline: 31 July 2026)
- Deep Fusion and Analysis of Hyperspectral and Multi-Source Remote Sensing Data via Advanced AI (Deadline: 31 July 2026)
- Multimodal Learning for Intelligent Remote Sensing Interpretation (Deadline: 31 July 2026)
- Machine Learning for Remote-Sensing Data Processing and Analysis (Deadline: 31 July 2026)
- Multimodal Data Fusion for Synthetic Aperture Radar (SAR) Image Processing (Deadline: 31 July 2026)
- Hyperspectral Remote Sensing Imagery for Object Detection (Deadline: 31 July 2026)
- Foundation Models and Intelligent Agents for Remote Sensing (Deadline: 31 July 2026)
- Cutting-Edge Algorithms and Characteristic Geo-Applications with Remote Sensing (Deadline: 31 July 2026)
- Sub-Pixel Mapping, Spatio-Temporal Fusion of Multi-Spectral and Hyperspectral Remote Sensing Data (Deadline: 15 August 2026)
- Few-Sample Intelligence for Hyperspectral Remote Sensing Image Classification (Deadline: 15 August 2026)
- Multi-Platform and Multi-Modal Remote Sensing Data Fusion with Advanced Deep Learning Techniques (Third Edition) (Deadline: 15 August 2026)
- Vision–Language Multimodal Learning for Remote Sensing and Geospatial Artificial Intelligence (Deadline: 15 August 2026)
- 3D Scene Perception and Reconstruction of Remote Sensing Imagery (Deadline: 20 August 2026)
- Innovations in Remote Sensing Image Analysis (Deadline: 20 August 2026)
- Advances in Hyperspectral Remote Sensing Image Anomaly Detection (Deadline: 20 August 2026)
- Hyperspectral Classification in Remote Sensing: State-of-the-Art Methods and Emerging Trends (Deadline: 25 August 2026)
- Deep Neural Networks for Hyperspectral Image Classification (Deadline: 30 August 2026)
- Advances in Detection-Oriented Multi-Sensor Fusion Beyond the Visible Spectrum (Deadline: 31 August 2026)
- Object Detection and Information Extraction Based on Remote Sensing Imagery (Second Edition) (Deadline: 31 August 2026)
- Advances in Hyperspectral Remote Sensing Image Processing: 2nd Edition (Deadline: 31 August 2026)
- From Pixels to Spectra: Towards Generalizable Large Models for Hyperspectral Remote Sensing (Deadline: 31 August 2026)
- Ship Imaging, Detection and Recognition for High-Resolution SAR (Deadline: 31 August 2026)
- Intelligent Processing Techniques for Monocular and Multi-View Remote Sensing Imagery (Deadline: 31 August 2026)
- Remote Sensing Image Change Detection and Feature Enhancement Based on Deep Learning (Deadline: 31 August 2026)
- Deep Learning-Based Analysis of High-Resolution Remote Sensing Images: Registration, Fusion, and Change Detection (Deadline: 31 August 2026)
- Deep Learning for Target Detection in Radar Remote Sensing (Deadline: 31 August 2026)
- Super-Resolution and Reconstruction of Remote Sensing Images (Deadline: 31 August 2026)
- Deep Learning for Multi-Sensor Remote Sensing: Advancements in Image Classification and Semantic Segmentation (Deadline: 31 August 2026)
- Recent Advances in SAR Images for Target Detection and Information Extraction (Deadline: 31 August 2026)
- Multimodal Fusion and Multisource Data Synergy for High-Precision Remote Sensing Target Detection and Tracking (Deadline: 31 August 2026)
- Radar and Photo-Electronic Multi-Modal Intelligent Fusion (Deadline: 10 September 2026)
- Remote Sensing Data Preprocessing and Calibration (Deadline: 15 September 2026)
- Advances in Target Recognition and Signal Processing Techniques for Synthetic Aperture Radar (SAR) Applications (Deadline: 15 September 2026)
- Recent Advances in SAR Object Detection (Deadline: 15 September 2026)
- Infrared Small Target Detection: Methods and Applications (Deadline: 15 September 2026)
- Advances in Remote Sensing for SAR Target Recognition with Deep Learning (Deadline: 15 September 2026)
- Recent Advances in Synthetic Aperture Radar Imaging and Data Processing (Deadline: 15 September 2026)
- Calibration and Validation of Remote Sensing Satellites (Deadline: 15 September 2026)
- Cross-Modal Learning and Pattern Recognition in Multisource Remote Sensing (Deadline: 15 September 2026)
- Trends and Prospects in Hyperspectral Remote Sensing Images Processing and Analysis (Deadline: 30 September 2026)
- Collaborative Learning for Multimodal Remote Sensing Analysis: Methods, Techniques and Applications (Deadline: 30 September 2026)
- Advanced Technology for Remote Sensing Image Analysis and Applications (Deadline: 30 September 2026)
- Advances in Remote Sensing Image Target Detection and Recognition (Deadline: 30 September 2026)
- Target Recognition and Detection Based on High Resolution Radar Images (Second Edition) (Deadline: 30 September 2026)
- Advanced Change Detection and Anomaly Detection in Remote Sensing (Deadline: 30 September 2026)
- Research on Infrared Hyperspectral Remote Sensing Images (Deadline: 30 September 2026)
- Deep Learning and Generative Artificial Intelligence for Hyperspectral Remote Sensing (Deadline: 30 September 2026)
- Remote Sensing Satellite Image Applications and Multimodal Data Mining (Deadline: 30 September 2026)
- Advances in Transformer-Based Models for Multi-Modal Remote Sensing Data Fusion and Analysis (Deadline: 30 September 2026)
- Advances in Multispectral Image Processing for Land Use and Land Cover Mapping (Deadline: 30 September 2026)
- Advances in Thermal Infrared Remote Sensing: Monitoring, Modeling and Validation (Deadline: 30 September 2026)
- Feed-Forward Techniques for Photogrammetric 3D Mapping (Deadline: 30 September 2026)
- New Advances in Remote Sensing Data Mining and Knowledge-Guided Machine Learning (Deadline: 30 September 2026)
- Foundation Model-Based Multi-Modal Data Fusion in Remote Sensing (Deadline: 30 September 2026)
- Super Resolution of Hyperspectral Imagery with Computer Vision (Deadline: 30 September 2026)
- Advanced Artificial Intelligence and Deep Learning for Remote Sensing (4th Edition) (Deadline: 30 September 2026)
- Machine Learning and Artificial Intelligence in SAR Data Analysis and Applications (Deadline: 30 September 2026)
- AI-Enhanced Remote Sensing for Image Matching and 3D Reconstruction (Deadline: 10 October 2026)
- Advancing Remote Sensing Through Large Multimodal Foundation Models: Toward Intelligent Earth Observation (Deadline: 15 October 2026)
- Remote Sensing Intelligent Interpretation in the Era of Large Models and Intelligent Agents: New Challenges, Methods and Opportunities (Deadline: 15 October 2026)
- Object Detection and Tracking in Satellite Imagery and Video (Deadline: 29 October 2026)
- Semantic Analysis of Remote Sensing Images Based on Deep Learning (Deadline: 30 October 2026)
- New Perspectives on 3D Point Cloud (Fourth Edition) (Deadline: 31 October 2026)
- Bridging AI and Remote Sensing: Multimodal Learning for Advanced Semantic Understanding (Deadline: 31 October 2026)
- Intelligent Interpretation of Remote Sensing Imagery: AI-Enhanced Monitoring of Geographical and Geological Environments (Deadline: 31 October 2026)
- Deep Learning-Based Interpretation and Processing of Remote Sensing Images (Deadline: 31 October 2026)
- Advances in SAR, Optical, Hyperspectral and Infrared Remote Sensing (Deadline: 31 October 2026)
- Multi-Sensor Fusion for UAV Remote Sensing: Deep Learning-Driven Target Detection in Complex Environments (Deadline: 31 October 2026)
- Deep Learning-Driven Hyperspectral Unmixing and Classification Techniques for Remote Sensing Images (Deadline: 31 October 2026)
- Advanced Multi-Sensor Fusion and Intelligent Data Processing in Remote Sensing (Deadline: 31 October 2026)
- Deep Learning Innovations: Small Samples and Foundation Models for Hyperspectral/Multispectral Imagery (Deadline: 31 October 2026)
- Deep Learning-Based Small-Target Detection in Remote Sensing—2nd Edition (Deadline: 31 October 2026)
- Multi-Task Remote Sensing Image Analysis: Classification, Segmentation, and Change Detection (Second Edition) (Deadline: 31 October 2026)
- Remote Sensing Data Dense Prediction and Feature Extraction (Deadline: 31 October 2026)
- Deep Learning for Remote Sensing Image Processing: Challenges and Future Directions (Deadline: 15 November 2026)
- High-Precision UAV Thermal Infrared Sensing and Processing (Deadline: 15 November 2026)
- Novel Algorithms for UAV- and Satellite-Based Hyperspectral, Multispectral, Infrared, and SAR Image Analysis (Deadline: 25 November 2026)
- Advancing UAV-Based Remote Sensing: Innovations, Techniques and Applications (Second Edition) (Deadline: 28 November 2026)
- Hyperspectral Imaging and LiDAR Scanning Technology Development and Applications (Deadline: 30 November 2026)
- Advances in InSAR Processing: Algorithmic Developments and Diverse Applications (Deadline: 30 November 2026)
- Applications to Internet of Things with Images and Videos from Remote Sensing (Deadline: 30 November 2026)
- Remote Sensing Imagery for Agricultural Monitoring and Precision Farming (Deadline: 30 November 2026)
- Intelligent Methods and Deep Learning Advances with Multimodal Remote Sensing Data for Environmental Hazard Applications (Deadline: 30 November 2026)
- Intelligent Processing and Analysis of LiDAR Point Clouds (Deadline: 30 November 2026)
- Imagery Classification and Feature Extraction Based on Hyperspectral Remote Sensing (Second Edition) (Deadline: 30 November 2026)
- Multimodal Sensing and Fusion Driven Intelligent Computing in Advanced Remote Sensing (Deadline: 30 November 2026)
- Advanced Object Detection, Classification and Recognition in VIR Optical and SAR Remote Sensing Imagery (Deadline: 30 November 2026)
- Advancements in Infrared Sounding Techniques and Applications (Deadline: 30 November 2026)
- Multimodal Remote Sensing for Intelligent Interpretation: Fusion, Classification, and Target Detection (Deadline: 30 November 2026)
- Intelligent Spatio-Temporal Dynamic Analysis Based on Multi-Temporal Remote Sensing Images (Deadline: 1 December 2026)
- Advances in Deep Learning Change Detection Based on High-Resolution Remote Sensing Imagery (Deadline: 15 December 2026)
- Machine Learning for Feature Extraction and Classification in Remote Sensing Images (Deadline: 16 December 2026)
- Deep Neural Networks for Hyperspectral Remote Sensing Image Processing (Second Edition) (Deadline: 30 December 2026)
- Multimodal Fusion for SAR Target Detection: Recent Advances and Challenges (Deadline: 30 December 2026)
- Advanced Image Processing Technologies and Applications for Remote Sensing (Deadline: 30 December 2026)
- Deep Learning-Based Cloud Detection and Removal for Remote Sensing Images (Deadline: 31 December 2026)
- Small Target Detection, Recognition, and Tracking in Remote Sensing (Deadline: 31 December 2026)
- Information Acquisition and Processing for Remote Sensing (IAP-RS) (Deadline: 31 December 2026)
- Deep Learning-Driven Remote Sensing Images Interpretation and Multi-Source Collaborative Detection (Deadline: 31 December 2026)
- Hyperspectral Remote Sensing for Complex Scene Understanding and Practical Applications (Deadline: 31 December 2026)
- Advances in Semantic Segmentation of High-Resolution Remote Sensing (Deadline: 31 December 2026)
- Efficient Representation Learning in Hyperspectral Remote Sensing: Dimensionality Reduction Methods and Intelligent Interpretation Applications (Deadline: 31 December 2026)
- Image Formation, Super-Resolution, Deblurring, and Feature Enhancement for Satellite Remote Sensing (Deadline: 31 December 2026)
- Remote Sensing, Image Semantic Segmentation, and Feature Extraction (Deadline: 31 December 2026)
- Deep Learning-Driven Cloud and Haze Mitigation: Advancements in Remote Sensing Image Restoration (Deadline: 15 January 2027)
- Deep Learning for SAR Remote Sensing: Advanced Object Analysis and Feature Extraction (Deadline: 31 January 2027)
- Remote Sensing Spatiotemporal Fusion with Deep and Generative Models (Deadline: 28 February 2027)
- Efficient Multimodal AI for Remote Sensing: From Observation Enhancement to Target-Aware Spatiotemporal Intelligence (Deadline: 28 February 2027)
