AI Remote Sensing
A section of Remote Sensing (ISSN 2072-4292).
Section Information
In recent years, Artificial Intelligence (AI) techniques have emerged as a powerful strategy for analyzing remote sensing (RS) data and led to remarkable breakthroughs in all RS fields. Applications of AI, particularly machine learning (ML) and deep learning (DL) algorithms, range from initial RS image processing to high-level RS data understanding and knowledge discovery. AI foundation models for remote sensing are also evolving. Given this period of evolution, this section focuses on developing novel AI concepts, algorithms, and techniques with applications for geoscience and remote sensing data (e.g., spaceborne, airborne, and UAV remote sensing for earth observation).
We invite authors to submit their articles to the AI Section of Remote Sensing in order to improve our current knowledge of the AI techniques used in remote sensing. Potential topics may include, but are not limited to, the following:
The fundamentals of AI in remote sensing;
AI foundation models in remote sensing science;
AI-based information acquisition and processing of remote sensing data;
Deep learning algorithms for remote sensing data;
Machine learning algorithms for remote sensing data;
Computer vision-related tasks in remote sensing (e.g., restoration, detection, classification, recognition, segmentation, retrieval);
Natural language processing-related tasks in remote sensing (e.g., caption, generation, question answering);
Pretrained foundation remote sensing models;
Multi-modal remote sensing data processing;
Reinforcement learning techniques in remote sensing;
Algorithm optimization techniques in remote sensing;
AI security for remote sensing;
AI hardware and systems for remote sensing;
Combined model-driven and data-driven methods for remote sensing data;
Robotics and automation techniques in remote sensing;
AI for sciences in remote sensing.
Please note that research that does not directly deal with remote sensing data does not fall within the scope of this journal.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Coastal Environment Monitoring Based on Remote Sensing and Artificial Intelligence (Deadline: 15 June 2025)
- Advanced Application of Artificial Intelligence and Machine Vision in Remote Sensing (Third Edition) (Deadline: 15 June 2025)
- Remote Sensing and Associated Artificial Intelligence in Agricultural Applications (2nd Edition) (Deadline: 30 June 2025)
- Knowledge-Driven and/or Data-Driven Methods for Remote Sensing Image Processing (Deadline: 30 June 2025)
- Intelligent Processing, Mining and Application of Remote Sensing Information (Deadline: 30 June 2025)
- Remote Sensing of Land Surfaces: Observation, Modeling, and Data Assimilation (Deadline: 30 June 2025)
- Big Data Era: AI Technology for SAR and PolSAR Image (Deadline: 30 June 2025)
- Deep Learning Applications of 3D Reconstruction and Visualization from Remote Sensing Imagery (Deadline: 30 June 2025)
- The Emerging Trends and Applications of Big Data and Machine Learning/Artificial Intelligence (AI) in Remote Sensing II (Deadline: 15 July 2025)
- Advanced Applications of Artificial Intelligence in Remote Sensing Image Recognition (Deadline: 15 July 2025)
- Advances in Multimodal Remote Sensing Data: Processing, Fusion and Applications (Deadline: 25 July 2025)
- Recent Progress in UAV-AI Remote Sensing II (Deadline: 30 July 2025)
- Recent Progress on Remote Sensing Change Detection and Application Driven by AI (Deadline: 31 July 2025)
- Deep Learning Techniques and Applications of MIMO Radar Theory (Deadline: 31 July 2025)
- Artificial Intelligence-Based Sensor Data Processing for Remote Sensing (Deadline: 15 August 2025)
- Deep Learning for Multi-Source Remote Sensing Image Interpretation: Exploring, Rethinking, and Limiting Breakthroughs (Deadline: 15 August 2025)
- Advanced Machine Learning Models for Remote Sensing Applications and Data Analysis—Recent Developments (Deadline: 15 August 2025)
- Digital Twins of the Earth: Contribution to a More Sustainable Society (Deadline: 29 August 2025)
- Deep Learning for Spectral-Spatial Hyperspectral Image Classification (2nd Edition) (Deadline: 29 August 2025)
- SAR Target Detection and Recognition with Intelligent Methods and Its Applications (Deadline: 29 August 2025)
- Explainable Artificial Intelligence (XAI) in Radar Imaging: Recent Advances and Future Directions (Deadline: 30 August 2025)
- Advances in Artificial Intelligence (AI) and Deep Learning (DL) in UAV-Based Remote Sensing (Deadline: 31 August 2025)
- Multimodal Remote Sensing Data Fusion, Analysis and Application (Deadline: 31 August 2025)
- Intelligent Remote Sensing: AI-Powered Techniques for Enhanced Data Analysis and Interpretation (Deadline: 31 August 2025)
- 3D City Modeling and Observation Using Remote Sensing and Artificial Intelligence (Deadline: 31 August 2025)
- Artificial Intelligence Remote Sensing for Earth Observation (Deadline: 15 September 2025)
- Crop Yield Estimation Based on Remote Sensing and Artificial Intelligence (Deadline: 15 September 2025)
- Advanced Technology for Remote Sensing Image Analysis and Applications (Deadline: 28 September 2025)
- Computer Vision and Features Enhancement of Hyperspectral Images (Deadline: 28 September 2025)
- AI-Driven Satellite Data for Global Environment Monitoring (Second Edition) (Deadline: 30 September 2025)
- Deep Learning Innovations in Remote Sensing (Deadline: 30 September 2025)
- Artificial Intelligence for Ocean Remote Sensing (Second Edition) (Deadline: 30 September 2025)
- Global Monitoring of Inland Water Using Remote Sensing and Artificial Intelligence (Deadline: 30 September 2025)
- Application of Artificial Intelligence in Land Use and Land Cover Mapping—3rd Version (Deadline: 15 October 2025)
- Photogrammetry Meets AI (Deadline: 15 October 2025)
- Fifth Anniversary of “AI Remote Sensing” Section (Deadline: 15 October 2025)
- Advances in AI-Driven Remote Sensing for Geohazard Perception (Deadline: 28 October 2025)
- Target Detection, Recognition, Tracking, and Positioning Using Remote Sensing and AI Techniques (Deadline: 29 October 2025)
- AI Technology for Enhanced Analysis of High-Resolution Earth Observation Imagery in Climate Change (Deadline: 29 October 2025)
- New Insights in Remote Sensing Image Interpretation with Deep Learning (Deadline: 30 October 2025)
- International Symposium on Remote Sensing (ISRS2024) (Deadline: 31 October 2025)
- Land Use Monitoring Based on Remote Sensing and Artificial Intelligence (Deadline: 31 October 2025)
- Recent Progress in GIS and Remote Sensing for Agriculture-Related Applications (Second Edition) (Deadline: 31 October 2025)
- Advances in the Study of Intelligent Aerospace (Deadline: 14 November 2025)
- Artificial Intelligence Remote Sensing Change Detection: Development and Challenges (Deadline: 26 November 2025)
- Intelligent Interpretation of Remote Sensing Images and Intelligent Processing of Remote Sensing Information (Deadline: 28 November 2025)
- Artificial Intelligence and Machine Learning for Multi-Modal and Multi-Spectral Remote Sensing Image Processing (Deadline: 30 November 2025)
- State of the Art and Future Developments: Short-Range Radar (2nd Edition) (Deadline: 30 November 2025)
- The Recent Progression of Machine Learning in Remote Sensing: Theory and Modelling (Deadline: 30 November 2025)
- Advances in Remote Sensing and Electromagnetic Spectrum Sensing: Data Acquisition and Signal Processing (Deadline: 30 November 2025)
- Integrating Deep Learning with Image Perception for Advanced Remote Sensing Applications (Deadline: 15 December 2025)
- Object Detection in Remote Sensing Images Based on Artificial Intelligence (Deadline: 29 December 2025)
- Advances in Remote Sensing Large Visual Language Model (Deadline: 30 December 2025)
- Advanced AI Technology for Remote Sensing Analysis (Deadline: 31 December 2025)
- Remote Sensing for Landslide Investigations: Mapping, Monitoring and Forecasting (Deadline: 31 December 2025)
- Microwave Remote Sensing for Object Detection (2nd Edition) (Deadline: 28 February 2026)
- Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience (Second Edition) (Deadline: 30 April 2026)