Ground moving target detection is a major application in multichannel Synthetic Aperture Radar (SAR) system. In recent years, method based on Robust Principal Component Analysis (RPCA) has attracted much attention for its good performance in distinguishing the difference among a set of correlative database. However, this kind of method might be disturbed by strong clutter points since some non-ideal factors exist. Therefore, a combined RPCA – shape constraint based algorithm for moving target detection is proposed in this paper. By estimating the shape information of the moving target with system parameters, the moving target would be effectively detected, and the disturbed points would be removed at the same time. The experimental data demonstrate its good performance to detect motive target under the strong clutter background.
郭小路,陶海红,杨东. 联合图形约束和稳健主成分分析的地面动目标检测算法[J]. 电子与信息学报, 2016, 38(10): 2475-2481.
GUO Xiaolu, TAO Haihong, YANG Dong. Ground Moving Target Detection Based on Robust Principal Component Analysis and Shape Constraint. JEIT, 2016, 38(10): 2475-2481.
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