Group sparsity based airborne wide angle SAR imaging

Zhonghao Wei; Bingchen Zhang; Hui Bi; Yun Lin; Yirong Wu

doi:10.1117/12.2241389

18 October 2016 Group sparsity based airborne wide angle SAR imaging

Zhonghao Wei, Bingchen Zhang, Hui Bi, Yun Lin, Yirong Wu

Proceedings Volume 10004, Image and Signal Processing for Remote Sensing XXII; 100041V (2016) https://doi.org/10.1117/12.2241389
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

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.

Citation Download Citation

Zhonghao Wei, Bingchen Zhang, Hui Bi, Yun Lin, and 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); https://doi.org/10.1117/12.2241389

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