Advanced Methods and Applications in SAR (Synthetic Aperture Radar) Image Target Detection and Recognition
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 June 2026 | Viewed by 87
Special Issue Editors
Interests: remote sensing information processing; synthetic aperture radar (SAR) image interpretation; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: SAR; data fusion; data integration; change detection; environmental modeling; hyperspectral remote sensing; spatial analysis
Special Issues, Collections and Topics in MDPI journals
Interests: multimodal remote sensing image collaboration; intelligent surface interpretation; change monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: synthetic aperture radar (SAR); image processing; feature extraction; automatic target detection and recognition; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Synthetic Aperture Radar (SAR), as a core remote sensing tool with all-weather, all-day, penetration, and stable ground imaging capabilities, is rapidly evolving to have higher resolution, broader coverage, increased revisit rates, multi-constellation and multi-platform collaborative networking, as well as multi-frequency, multi-polarization, and multi-baseline three-dimensional imaging. In response to critical needs in ocean monitoring, early disaster warning, national land and infrastructure security, and others, the acquisition and operational deployment of vast amounts of SAR data are paving the way for new trends of large volumes, fast updates, and timeliness. Concurrently, intelligent technologies such as deep learning, generative large models, self-supervised learning, multi-modal fusion, and cloud-edge collaborative computing are accelerating integration, providing a new paradigm for the data–information–knowledge–decision loop. Against this backdrop of both opportunities and challenges, intelligent detection and recognition of SAR images urgently require breakthroughs in methodology and engineering, particularly in areas like weak target detection, complex scene detection, cross-sensor and cross-domain generalization, real-time and automated processing, and explainable and trustworthy AI in order to fully unlock the application potential of next-generation SAR systems.
This Special Issue aims to bring together advanced methods and applications in SAR image target detection and recognition. We invite you to contribute your latest research findings to this issue. Both original research articles and review papers will be accepted.
Research areas may include (but are not limited to) the following:
- Satellite/airborne SAR image target detection and recognition;
- SAR image detection and recognition assisted by multi-modal data;
- Exploring the application of large model technologies in SAR target detection and recognition;
- Semi-supervised and unsupervised learning for SAR target detection and recognition;
- Edge/cloud computing-based intelligent SAR image detection and recognition;
- Multi-modal/multi-source information fusion for target detection and recognition;
- Explainability in SAR image intelligent detection and recognition.
Dr. Kefeng Ji
Dr. Veraldo Liesenberg
Prof. Dr. Zhiyong Lv
Dr. Haohao Ren
Guest Editors
Dr. Zhongzhen Sun
Guest Editor Assistant
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
- synthetic aperture radar (SAR)
- target detection and recognition
- multi-modal information fusion
- explainability
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