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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.

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