SAR Imaging Technologies and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 25 January 2026 | Viewed by 351
Special Issue Editor
Interests: radar image processing; target recognition; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Synthetic aperture radar (SAR) has long been an intensely researched topic due to its all-day all-weather remote sensing capabilities. The amount of information carried in satellite-born SAR data has expanded dramatically thanks to the rapid development of PolSAR and InSAR technologies. Meanwhile, drone-borne miniSAR systems, which are more advantageous in manufacturing costs, ground resolution, timeliness, and maneuverability, have also entered a golden era.
This Special Issue aims to publish the latest research advances in 1) SAR/ISAR system design and imaging techniques; 2) video SAR; 3) bistatic/multistatic SAR techniques, which outperform their monostatic counterparts in low probability of interception (LPI), anti-stealth, flexibility, coverage rate, and target feature extraction; and 4) scene classification, segmentation, and automatic target recognition (ATR), which include cross-modality scene/target classification network design based on aligned optical/infrared-SAR data, as well as benchmark real-synthetic SAR dataset construction to support context-drive ATR in diverse locations (such as airports, harbors, urban scenarios) and the development of continuous-learning/prototype-learning/incremental learning algorithms with the goal of learning new target categories from the samples collected from the deployment environment.
Articles may address, but are not limited to, one of the following topics:
- SAR/ISAR imaging;
- PolSAR/InSAR;
- UAV-borne miniSAR systems;
- Video SAR;
- Bistatic/multistatic SAR;
- Automatic target recognition (ATR) with aligned optical/infrared and SAR data;
- Benchmark real-synthetic SAR dataset construction for scene understanding;
- Target component analysis for explainable SAR ATR;
- Fine-tuning SAR ATR network in continuous learning scenarios.
Dr. Zhe Geng
Guest Editor
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Keywords
- synthetic aperture radar
- PolSAR
- InSAR
- video SAR
- bistatic/multistatic SAR
- SAR image segmentation
- SAR automatic target detection
- SAR automatic target recognition
- explainable deep neural network
- incremental learning
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