Shadow-Background-Noise 3D Spatial Decomposition Using Sparse Low-Rank Gaussian Properties for Video-SAR Moving Target Shadow Enhancement

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Jul 07, 2022
Tianwen Zhang, Xiaoling Zhang, Zhenyu Yang, Xu Zhan, Jinyu Bao
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Moving target shadows among video synthetic aperture radar (Video-SAR) images are always interfered by low scattering backgrounds and cluttered noises, causing poor moving target shadow detection-tracking performance. To solve this problem, this letter proposes a shadow-background-noise 3D spatial de-composition method named SBN-3D-SD to boost shadow saliency for better Video-SAR moving target shadow detection-tracking performance.

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