Intelligent Image Analysis: Advancing Remote Sensing with Artificial Intelligence
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 29 October 2025 | Viewed by 69
Special Issue Editors
Interests: quantum-inspired evolutionary computation; computation intelligence; machine learning; pattern recognition
Interests: remote sensing image captioning
Interests: image processing; multitemporal remote sensing; change detection; cloud removal; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of remote sensing technologies has enabled daily acquisition of massive remote sensing images (RSIs). However, the exponential expansion of RSIs in terms of volume, diversity, and complexity has fundamentally challenged the conventional image analysis methods reliant on manually crafted features and shallow machine learning architectures. In recent years, artificial intelligence has exhibited revolutionary breakthroughs and provides a transformative solution for RSI analysis. Researchers have significantly enhanced the accuracy and efficiency of RSI analysis by leveraging advanced AI techniques. Notably, the emergence of remote sensing foundation models has driven substantial progress in cognitive reasoning capabilities for remote sensing applications.
Therefore, we have organized a Special Issue titled “Intelligent Image Analysis: Advancing Remote Sensing with Artificial Intelligence” in Remote Sensing. This Special Issue aspires to create a platform to share and discuss studies on advanced AI technology for RSI analysis. The research topics cover classification, detection, segmentation, and other image analysis tasks, and the data sources include, but are not limited to, optical, hyperspectral, and SAR. We welcome submissions relevant to intelligent RSI interpretation, remote sensing foundation models, multi-modal RSI analysis, remote sensing 3D reconstruction, open-world RSI interpretation, and other remote sensing interpretation applications with advanced AI technology.
Prof. Dr. Yangyang Li
Dr. Tianyang Zhang
Dr. Xinghua Li
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.
Keywords
- intelligent RSI interpretation
- remote sensing foundation models development and downstream applications
- multi-modal RSI interpretation
- remote sensing 3D reconstruction
- open-world remote sensing image interpretation
- remote sensing interpretation applications with advanced AI technology
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