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Proceedings Paper

Group sparsity based airborne wide angle SAR imaging
Author(s): Zhonghao Wei; Bingchen Zhang; Hui Bi; Yun Lin; Yirong Wu
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Paper Abstract

In this paper, we develop a group sparsity based wide angle synthetic aperture radar (WASAR) imaging model and propose a novel algorithm called backprojection based group complex approximate message passing (GCAMP-BP) to recover the anisotropic scene. Compare to conventional backprojection based complex approximate message passing (CAMP-BP) algorithm for the recovery of isotropic scene, the proposed method accommodates aspect dependent scattering behavior better and can produce better imagery. Simulated and experimental results are presented to demonstrate the validity of the proposed algorithm.

Paper Details

Date Published: 18 October 2016
PDF: 6 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100041V (18 October 2016); doi: 10.1117/12.2241389
Show Author Affiliations
Zhonghao Wei, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Bingchen Zhang, Institute of Electronics (China)
Hui Bi, Univ. of Chinese Academy of Sciences (China)
Institute of Electronics (China)
Yun Lin, Institute of Electronics (China)
Yirong Wu, Institute of Electronics (China)


Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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