Recent Advances in SAR: Signal Processing and Target 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: 10 September 2025 | Viewed by 510
Special Issue Editors
Interests: radar system design; signal and image processing; machine learning
Special Issue Information
Dear Colleagues,
Synthetic aperture radar (SAR) has emerged as a critical technology across various fields, including space reconnaissance, remote sensing, resource exploration, ocean monitoring, and non-destructive testing, due to its all-weather, all-day observation capabilities and high-resolution imaging. However, challenges such as signal noise and interference, the complexity of target structures, dynamic changes in environmental factors, the balance between resolution and processing efficiency, the need for multi-source data fusion, and the need for adaptability to cross-disciplinary applications all pose significant hurdles to the quality of SAR signal processing and the accuracy of target recognition.
In response to these challenges, this Special Issue focuses on the field of SAR signal processing and target recognition, aiming to gather and highlight the latest research achievements and innovative practices in the field. This includes, but is not limited to, the following topics:
- Novel SAR signal denoising and filtering techniques;
- High-resolution SAR image detection and reconstruction algorithms;
- Deep learning-based SAR target recognition methods;
- Multi-polarization SAR data fusion and feature extraction;
- Change detection and time series analysis in SAR images;
- SAR target detection and tracking in complex environments;
- Resolution and efficiency optimization in SAR signal processing;
- Fusion technology of multi-source remote sensing data with SAR data;
- SAR signal processing algorithms tailored for specific application scenarios;
- Cross-disciplinary applications of SAR signal processing and target recognition research.
Prof. Dr. Dahai Dai
Dr. Fengming Hu
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
- synthetic aperture radar
- signal processing
- target recognition
- machine learning
- radar system
- SAR feature extraction and processing
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