Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 60, Issue -, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2021.3115491
Keywords
Synthetic aperture radar; Target tracking; Radar tracking; Radar polarimetry; Radar imaging; Imaging; Clutter; Ground moving target indication (GMTI); moving target tracking; radar imaging; shadow detection; video synthetic aperture radar (SAR)
Categories
Funding
- National Science Foundation of China [62171358]
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Video synthetic aperture radar (SAR) plays an important role in ground moving target indication and tracking, but neither shadow nor energy information alone can provide robust detection and tracking. A joint processing framework combining these two types of information effectively reduces the false alarm and miss-detection rate, as verified by simulated and real video SAR data.
Video synthetic aperture radar (SAR) has been found very useful in ground moving target indication (GMTI) and tracking. The dynamic shadows in video SAR imagery sequences indicate the real positions of moving targets, which can be utilized in target detection and tracking. Unfortunately, the shadow-based method often fails when the shadows are not sufficiently developed. On the other hand, the traditional energy-based GMTI methods exhibit performance degradation when SAR images of a moving target are distorted or smeared. Neither of these two methods can stand alone to provide robust detection and tracking of moving targets. This article presents a joint processing framework for video SAR GMTI and tracking by combining the target shadow and echo energy information, which effectively lowers the false alarm and miss-detection rate. This approach is very suitable for real-time surveillance of ground moving targets in a single-channel video SAR system. The proposed approach has been verified by using the simulated and the real video SAR data.
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