18 October 2016 Group sparsity based airborne wide angle SAR imaging
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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.
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Zhonghao Wei, Zhonghao Wei, Bingchen Zhang, Bingchen Zhang, Hui Bi, Hui Bi, Yun Lin, Yun Lin, Yirong Wu, Yirong Wu, "Group sparsity based airborne wide angle SAR imaging", Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100041V (18 October 2016); doi: 10.1117/12.2241389; https://doi.org/10.1117/12.2241389
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