Target Detection, Recognition, Tracking, and Positioning Using Remote Sensing and AI Techniques (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 28 September 2026 | Viewed by 90
Special Issue Editors
Interests: target detection; target tracking; AI integration; multi-agent system; task-driven optimization
Special Issues, Collections and Topics in MDPI journals
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
2. Key Laboratory of Network Information System Technology (NIST), University of Chinese Academy of Sciences, Beijing, China
Interests: multi-source information fusion; AI remote sensing; multi-agent cooperative perception
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of AI-driven target detection in remote sensing has enabled transformative applications, including disaster response, traffic monitoring, and autonomous driving; therefore, following the highly successful first edition of this Special Issue, which attracted strong interest and high-quality contributions, this second edition continues to explore emerging advances in this dynamic field. Traditional approaches based on hand-crafted features often struggle to cope with challenges such as viewpoint variation, multi-modal remote sensing data, and non-cooperative targets; however, recent breakthroughs in deep learning and multi-sensor fusion have led to substantial improvements in detection accuracy and computational efficiency, particularly for small, non-cooperative targets in cluttered scenes. Nevertheless, several key challenges remain: (1) balancing detection and tracking performance with computational efficiency for edge-device deployment; (2) enabling reliable automatic detection and tracking of dynamic targets across diverse environments; (3) integrating satellite–aerial–ground collaborative perception for large-scale, real-time monitoring; and (4) recognizing ambiguous relationships within complex and dynamic target groups.
This Special Issue aligns closely with the scope of Remote Sensing, especially in AI-driven remote sensing applications and multi-source data fusion. It aims to: (1) narrow the gap between advanced AI techniques and practical remote sensing needs; (2) provide a forum for cross-disciplinary research at the intersection of computer vision, robotics, and environmental science; (3) encourage the development of robust and deployable systems for dynamic and heterogeneous environments; and (4) strengthen latent association recognition for complex non-cooperative target groups.
The Special Issue seeks to attract research covering the following themes:
- Multi-modal/multi-scale remote sensing data fusion;
- Multi-view collaborative perception;
- AI-driven environment recognition;
- Target detection, recognition, tracking, and positioning;
- Cross-view geolocalization and matching;
- Target association analysis based on knowledge graphs;
- Understanding 3D scenes from 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 250 words) can be sent to the Editorial Office for assessment.
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, cross-view geolocalization
- knowledge graph
- deep learning
- task-driven optimization
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