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:
- 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)
- 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)
- 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)
- Intelligent Image Analysis: Advancing Remote Sensing with Artificial Intelligence (Deadline: 30 November 2026)
- Recent Advances in the Processing of Hyperspectral Images (Second Edition) (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)
- Deep Learning Techniques for Pixel Classification and Image Retrieval in Remote Sensing (Deadline: 31 December 2026)
- Multi-Object Detection and Feature Extraction of Remote Sensing Images (Deadline: 31 December 2026)
- Small Target Detection, Recognition, and Tracking in Remote Sensing (Deadline: 31 December 2026)
- Hyperspectral Remote Sensing Image Analysis via Advanced Deep Learning and Computer Vision (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)
- Urban Sprawl and Urban Sustainability: High-Resolution Remote-Sensing Image Analytics (Deadline: 15 January 2027)
- Vision–Language Multimodal Learning for Remote Sensing and Geospatial Artificial Intelligence (Deadline: 15 January 2027)
- Deep Learning-Driven Cloud and Haze Mitigation: Advancements in Remote Sensing Image Restoration (Deadline: 15 January 2027)
- Multimodal Learning for Intelligent Remote Sensing Interpretation (Deadline: 20 January 2027)
- Machine Learning for Remote-Sensing Data Processing and Analysis (Deadline: 20 January 2027)
- Foundation Models and Intelligent Agents for Remote Sensing (Deadline: 20 January 2027)
- Cutting-Edge Algorithms and Characteristic Geo-Applications with Remote Sensing (Deadline: 20 January 2027)
- Advances in Scene Understanding with Hyperspectral Remote Sensing: From Data Benchmarks to Applications (Deadline: 31 January 2027)
- Emulation and Surrogate Modeling in Remote Sensing: Advances, Challenges and Applications (Deadline: 31 January 2027)
- Explainable AI Methods for Remote Sensing Images Interpretation (Deadline: 31 January 2027)
- Lightweight Artificial-Intelligence Techniques for Remote-Sensing Image Processing (Deadline: 31 January 2027)
- Deep Fusion and Analysis of Hyperspectral and Multi-Source Remote Sensing Data via Advanced AI (Deadline: 31 January 2027)
- Hyperspectral Remote Sensing Imagery for Object Detection (Deadline: 31 January 2027)
- Deep Learning for SAR Remote Sensing: Advanced Object Analysis and Feature Extraction (Deadline: 31 January 2027)
- AI Technology in Change Detection for High-Resolution Remote Sensing Images (Deadline: 31 January 2027)
- Deep Learning for SAR Target Detection and Instance Segmentation (Deadline: 31 January 2027)
- Image Quality in Remote Sensing Data: Metrics, Enhancement and Impact on AI-Driven Analysis (Deadline: 31 January 2027)
- Advancing Synthetic Aperture Radar: Imaging, Processing, and Applications in Remote Sensing (Second Edition) (Deadline: 31 January 2027)
- Multi-Modal Deep Learning for Remote Sensing Image Classification (Deadline: 31 January 2027)
- Multimodal Data Fusion for Synthetic Aperture Radar (SAR) Image Processing (Deadline: 10 February 2027)
- Applications and New Trends in Metrology for Radar/LiDAR-Based Systems (Third Edition) (Deadline: 15 February 2027)
- Intelligent Processing Techniques for Monocular and Multi-View Remote Sensing Imagery (Deadline: 15 February 2027)
- Image Processing and Analysis: Trends in Registration, Data Fusion, 3D Reconstruction, and Change Detection (Fourth Edition) (Deadline: 15 February 2027)
- Deep Learning for Target Detection in Radar Remote Sensing (Deadline: 15 February 2027)
- Few-Sample Intelligence for Hyperspectral Remote Sensing Image Classification (Deadline: 15 February 2027)
- Deep Learning for Multi-Sensor Remote Sensing: Advancements in Image Classification and Semantic Segmentation (Deadline: 15 February 2027)
- Recent Advances in Synthetic Aperture Radar Imaging and Data Processing (Deadline: 15 February 2027)
- 3D Scene Perception and Reconstruction of Remote Sensing Imagery (Deadline: 20 February 2027)
- Deep Learning for Remote Sensing Image Segmentation (Deadline: 20 February 2027)
- Vision–Language and Multimodal Foundation Models for Intelligent Remote Sensing Interpretation (Deadline: 25 February 2027)
- Neural Networks and Deep Learning for Satellite Image Processing (Deadline: 28 February 2027)
- Object Detection in Remote Sensing Imagery (Deadline: 28 February 2027)
- Recent Advances in SAR Images for Target Detection and Information Extraction (Deadline: 28 February 2027)
- Multi-Platform and Multi-Modal Remote Sensing Data Fusion with Advanced Deep Learning Techniques (Third Edition) (Deadline: 28 February 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)
- Remote Sensing with LiDAR Point Clouds: From Semantic Segmentation to 3D Scene Understanding (Deadline: 28 February 2027)
- Learning-Based Remote Sensing and Earth Observation Intelligence: Representation, Fusion, Interpretation, and Generation (Deadline: 28 February 2027)
- LiDAR Remote Sensing Signal Processing for Intelligent Interpretation (Deadline: 28 February 2027)
- Rethinking Remote Sensing from the Perspective of Visual Understanding: Enhancement, Fusion, Classification, Detection and Segmentation (Deadline: 28 February 2027)
- 3D Computer Vision for Remote Sensing: Point Cloud, Reconstruction and Scene Understanding (Deadline: 28 February 2027)
- Multimodal Remote Sensing Image Processing and Understanding in the Era of Vision-Language Models (Deadline: 28 February 2027)
- Recent Advances in Robust and Intelligent Remote Sensing Data Processing (Deadline: 28 February 2027)
- Advanced Algorithms and Techniques for Remote Sensing Image Processing (Second Edition) (Deadline: 28 February 2027)
- Radar and Photo-Electronic Multi-Modal Intelligent Fusion (Deadline: 10 March 2027)
- Ship Imaging, Detection and Recognition for High-Resolution SAR (Deadline: 15 March 2027)
- Remote Sensing Data Preprocessing and Calibration (Deadline: 15 March 2027)
- Recent Advances in SAR Object Detection (Deadline: 15 March 2027)
- Deep Neural Networks for Hyperspectral Image Classification (Deadline: 15 March 2027)
- Calibration and Validation of Remote Sensing Satellites (Deadline: 15 March 2027)
- Cross-Modal Learning and Pattern Recognition in Multisource Remote Sensing (Deadline: 15 March 2027)
- Innovations in Remote Sensing Image Analysis (Deadline: 20 March 2027)
- Advances in Hyperspectral Remote Sensing Image Anomaly Detection (Deadline: 20 March 2027)
- Advances in Thermal Infrared Remote Sensing: Monitoring, Modeling and Validation (Deadline: 31 March 2027)
- Advances in Target Recognition and Signal Processing Techniques for Synthetic Aperture Radar (SAR) Applications (Deadline: 31 March 2027)
- Intelligent Processing of Spatial–Spectral–Temporal Remote Sensing Imagery (Deadline: 31 March 2027)
- Temporal and Spatial Analysis of Multi-Source Remote Sensing Images (Second Edition) (Deadline: 31 March 2027)
- Remote Sensing for Object Detection and Change Detection: Algorithms and Applications (Deadline: 31 March 2027)
- Collaborative Learning and Optimization Across Data, Modalities and Tasks in Remote Sensing Image Processing (Deadline: 31 March 2027)
- Detection, Segmentation and Fusion for High-Resolution UAV Remote Sensing Applications (Deadline: 31 March 2027)
- Advancements in Remote Sensing Data Processing with Foundation Models (Deadline: 31 March 2027)
- Deep Learning for Remote Sensing Image Understanding (Deadline: 31 March 2027)
- Recent Advances in Hyperspectral Remote Sensing: Theories, Technologies and Applications (2nd Edition) (Deadline: 31 March 2027)
- Foundation Models and Deep Learning for Intelligent SAR Image Understanding and Analysis (Deadline: 31 March 2027)
- Demand-Driven and Explainable Artificial Intelligence for Remote Sensing Data Mining and Applications (Deadline: 31 March 2027)
- Advances in AI, Machine Learning and Multimodal Remote Sensing Image Analysis (Deadline: 30 April 2027)
- AI-Driven Hyperspectral Image Classification and Object Detection (Deadline: 30 April 2027)
- Emerging Paradigms in Earth Vision: Towards General and Scalable Remote Sensing Intelligence (Deadline: 30 April 2027)
- Tensor Methods for Hyperspectral Remote Sensing Image Fusion and Classification (Deadline: 30 April 2027)
- Reviews in Remote Sensing Image Processing: Methods, Architectures, and Applications (Deadline: 15 May 2027)
- Visual Fusion, Understanding, and Generation in Remote Sensing (Deadline: 30 June 2027)
- Cross-Modal Fusion and Intelligent Interpretation of High-Resolution Remote Sensing Imagery (Deadline: 31 August 2027)
