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

07/07/2022

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by Tianwen Zhang, et al.

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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.

Tianwen Zhang
5 publications
Xiaoling Zhang
10 publications
Zhenyu Yang
10 publications
Xu Zhan
4 publications
Jinyu Bao
1 publication

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