NDLI: A Novel Detection Scheme in Image Domain for Multichannel Circular SAR Ground-Moving-Target Indication

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A Novel Detection Scheme in Image Domain for Multichannel Circular SAR Ground-Moving-Target Indication

Content Provider	MDPI
Author	Dong, Qinghai Wang, Bingnan Xiang, Maosheng Wang, Zhongbin Wang, Yachao Song, Chong
Copyright Year	2022
Description	Circular synthetic aperture radar (CSAR), which can observe the region of interest for a long time and from multiple angles, offers the opportunity for moving-target detection (MTD). However, traditional MTD methods cannot effectively solve the problem of high probability of false alarm (PFA) caused by strong clutter. To mitigate this, a novel, three-step scheme combining clutter background extraction, multichannel clutter suppression, and the degree of linear consistency of radial velocity interferometric phase (DLRVP) test is proposed. In the first step, the spatial similarity of the scatterers and the correlation between sub-aperture images are fused to extract the strong clutter mask prior to clutter suppression. In the second step, using the data remaining after elimination of the background clutter in Step 1, an amplitude-based detector with higher processing gain is utilized to detect potential moving targets. In the third step, a novel test model based on DLRVP is proposed to further reduce the PFA caused by isolated strong scatterers. After the above processing, almost all false alarms are excluded. Measured data verified that the PFA of the proposed method is only 20% that of the comparison method, with improved detection of slow and weakly moving targets and with better robustness.
Starting Page	2596
e-ISSN	14248220
DOI	10.3390/s22072596
Journal	Sensors
Issue Number	7
Volume Number	22
Language	English
Publisher	MDPI
Publisher Date	2022-03-28
Access Restriction	Open
Subject Keyword	Sensors Imaging Science Remote Sensing Multichannel Circular Sar Ground-moving-target Indication (gmti) Clutter Suppression Along-track Interferometry (ati) the Heterogeneous Clutter Environment
Content Type	Text
Resource Type	Article

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