Trends and Prospects in SAR Data Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 15 September 2026 | Viewed by 129
Special Issue Editors
Interests: synthetic aperture radar; inverse synthetic aperture radar; polarimetric radar; deep learning; target detection; target recognition
Interests: adaptive signal processing; waveform optimization; intelligent radar; machine learning
Interests: radar signal processing; array signal processing; radar systems; adaptive beamforming; airborne radar; radar system design; space–time adaptive processing; doppler processing; compressive sensing radar; target detection; UAV remote sensing
Special Issue Information
Dear Colleagues,
With the development of commercial aerospace technology, new platforms and sensors equipped with SAR imaging payloads of different systems, polarizations, and frequency bands are continuously emerging, making it possible to generate new SAR datasets with higher spatial and temporal resolutions. The publication of the MSTAR dataset in the 1990s greatly promoted the development of SAR recognition technology. In recent years, the continuous emergence of new SAR datasets and deep learning technology has promoted the performance of SAR target imaging, detection, recognition, and classification. These datasets are rich in content and are constantly being updated and improved. From the perspective of target types, they include typical human-made targets such as ships, aircraft, vehicles, satellites, and buildings; from the perspective of imaging systems, they include different sensors such as SAR, ISAR, and InSAR; from the perspective of polarization systems, they include different modes such as single polarization, dual polarization, and full polarization; and from the perspective of frequency bands, they include different bands such as C-band, X-band, and Ku-band. These rich SAR datasets provide strong data support for researchers aiming to understand target characteristics, and the construction of datasets, new works, and methods based on these various datasets are particularly welcome in this Special Issue.
Dr. Xingchao Cui
Dr. Hao Wu
Prof. Dr. Xin Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- SAR dataset construction
- target imaging
- target detection
- target recognition
- target classification
- target characteristics
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