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Proceedings Paper

A super-resolution SAR imaging method based on basis pusuit
Author(s): Xiong-liang Wang; Zheng-ming Wang
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Paper Abstract

Basis Pursuit is a novel technique of signal sparse representation. It seeks sparse representation from over-complete dictionaries. In this paper, we extend the application of the Basis Pursuit method to SAR super-resolution imaging. Firstly, based on the SAR attributed scattering model and adaptive fine grid, a new type compacted Dictionary is designed in phase history domain. By this way, the dimension of the desired problem is even smaller. Secondly, a new and fast iterative algorithm is proposed, the fine feature parameter estimation of the scatter in SAR image is obtained. Finally, in terms of SAR attributed scattering model in the phase history domain, larger scale phase history data is built. By FFT imaging, higher resolution image is obtained. Simulation experiments and computational results of measured MSTAR data demonstrate that Basis Pursuit can be performed speedy and stably, it can provide super-resolution at the same time.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 604333 (3 November 2005); doi: 10.1117/12.655038
Show Author Affiliations
Xiong-liang Wang, National Univ. of Defense Technology (China)
Zheng-ming Wang, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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