Advanced Applications of Artificial Intelligence in Remote Sensing Image Recognition

Dear Colleagues,

With the rapid accumulation of high-resolution remote sensing data and internet geographic information, the demand for intelligent processing and analysis of remote sensing big data is increasing day by day. Artificial intelligence (AI) technology provides strong support for improving the efficiency and accuracy of remote sensing data acquisition, and brings new possibilities for the processing, analysis and application of remote sensing data. From image recognition to land cover classification, and from change detection to environmental monitoring, AI demonstrates extensive and far-reaching applications in the field of remote sensing.

However, AI remote sensing still faces numerous challenges, such as acquiring annotated data, algorithm interpretability, and fully utilizing spatial and multi-dimensional features of remote sensing data, which require further breakthroughs. Moreover, amidst the plethora of publications in both remote sensing and AI fields, researchers in interdisciplinary areas need to expend considerable effort to review and keep up with the pace of developments. This Special Issue aims to explore the latest advances, challenges and application prospects of AI in the field of remote sensing. The topics may cover new theories, methods and applications of AI technology in remote sensing data processing, remote sensing image analysis and remote sensing applications.

Articles may address, but are not limited to, the following topics:

• Remote sensing monitoring of major crop pests and diseases based on artificial intelligence technology;
• Application of deep learning in spatio-temporal big data for forest monitoring;
• Deep learning for crop classification with remote sensing data;
• Application of artificial intelligence and remote sensing in frontier research on agricultural meteorological disasters;
• Environmental remote sensing monitoring with artificial intelligence technology;
• Application of artificial intelligence in change detection and monitoring;
• Hyperspectral/multispectral/optical remote sensing image quality enhancement and restoration with artificial intelligence technology;
• Remote sensing image interpretation with artificial intelligence technology.

Prof. Dr. Dong Ren
Dr. Huiqin Ma
Dr. Hang Sun
Dr. Li Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• remote sensing
• deep learning
• remote sensing image interpretation
• object detection
• change detection
• data fusion
• environmental monitoring
• remote sensing image quality enhancement and restoration