Target Detection, Recognition, Tracking, and Positioning Using Remote Sensing and AI Techniques
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 29 October 2025 | Viewed by 32
Special Issue Editors
Interests: target detection; target tracking; AI integration; multi-agent system; task-driven optimization
Interests: coastal remote sensing; SAR; marine surface films; ocean radar backscattering; air-sea interactions; air-sea fluxes
Special Issues, Collections and Topics in MDPI journals
Interests: cross view geo-localization; satellite photogrammetry; 3D reconstruction
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent interpretation of remote sensing images; terrain classification; target detection and recognition
Special Issue Information
Dear Colleagues,
The rapid advancement of AI-driven target detection in remote sensing has led to revolutionary applications in areas such as disaster response, traffic monitoring, and automatic driving. Traditional methods relying on hand-crafted features struggle with the complexity of viewpoint differences, multi-modal remote sensing data, and non-cooperative targets. Recent breakthroughs in deep learning and multi-sensor fusion have demonstrated significant improvements in accuracy and efficiency, particularly for small non-cooperative target detection against cluttered backgrounds. However, challenges remain in (1) balancing detection and tracking accuracy and computational efficiency for edge devices; (2) the automatic detection and tracking of dynamic targets across diverse environments; (3) achieving satellite–aerial–ground collaborative perception for large-scale, real-time monitoring; and (4) the recognition of ambiguous relationships for complex and dynamic target groups.
This Special Issue aligns with the focus of Remote Sensing on AI-driven remote sensing applications and multi-source data fusion. We aim to (1) bridge the gap between cutting-edge AI techniques and practical remote sensing needs; (2) provide a platform for cross-disciplinary research at the intersection of computer vision, robotics, and environmental science; (3) foster the development of robust, deployable systems for dynamic and heterogeneous environments; and (4) enhance latent association recognition abilities for complex non-cooperative target groups.
We welcome papers on topics including, but not limited to, the following:
- Multi-modal/multi-scale remote sensing data fusion;
- Multi-view collaborative perception;
- AI-driven environment recognition;
- Target detection, recognition, tracking, and positioning;
- Cross-view geo-localization and matching;
- Target association analysis based on knowledge graphs;
- Understanding 3D scenes based on heterogeneous views.
Dr. Wensheng Wang
Dr. Martin Gade
Dr. Yi Wan
Dr. Zhirui Wang
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
- satellite–aerial–ground collaborative perception
- multi-agent system
- target detection, recognition, tracking, and positioning
- geographic retrieval and cross-view geolocalization
- knowledge graph
- deep learning
- task-driven optimization
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