Small Target Detection, Recognition, and Tracking in Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 75
Special Issue Editors
Interests: small target perception; multi-modal image recovery; target recognition; UAV collaboration
Interests: remote sensing image target detection; intelligent generation of image data; target tracking
Special Issue Information
Dear Colleagues,
The rapid advancement of remote sensing technologies has created unprecedented opportunities for monitoring and analyzing Earth’s surface phenomena. Small target detection, recognition, and tracking represent critical challenges in remote sensing applications, particularly in defense surveillance, disaster monitoring, and environmental assessment. Modern remote sensing systems leverage diverse imaging modalities, including visible, infrared, hyperspectral, SAR, LiDAR, and multispectral sensors, each offering unique advantages in different environmental conditions and application scenarios. Researchers can choose between single-modal approaches for specific applications or multi-modal fusion strategies for enhanced performance. Single-modal methods can be highly effective and computationally efficient for targeted scenarios, while multi-modal approaches enable comprehensive target characterization and improved robustness across diverse environmental conditions.
This Special Issue aims to advance the state-of-the-art in different modal approaches for small target applications in remote sensing. We seek to foster innovative research that addresses theoretical foundations, algorithmic developments, system implementations, and practical applications. The scope aligns perfectly with Remote Sensing’s mission to disseminate cutting-edge research in Earth observation and imaging technologies, promoting interdisciplinary collaboration and technological innovation in the field of remote sensing image processing.
Suggested themes include novel single-modal and multi-modal fusion architectures and deep learning approaches; heterogeneous sensor integration strategies; multi-scale and multi-temporal fusion methodologies; real-time processing algorithms and hardware implementations; performance evaluation metrics and benchmark datasets; applications in maritime surveillance, urban monitoring, and disaster response; robustness analysis under challenging conditions; and integration with emerging technologies such as AI and edge computing. Article types welcomed include original research articles, comprehensive reviews, technical notes, and case studies.
Dr. Xiaoyong Sun
Dr. Bei Sun
Dr. Peng Wu
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
- single and multi-modal approaches
- small target detection
- target recognition
- target tracking
- remote sensing
- modal selection and integration
- deep learning fusion
- modal optimization and fusion
- adaptive modal selection
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