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Proceedings Paper

Target feature-enhanced of SAR image based on regularization of lk norm
Author(s): Xiong-liang Wang; Zheng-ming Wang; Chun-ling Wang
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Paper Abstract

Target feature-enhanced processing of SAR image is meaningful to SAR ATR. One regularization method based on lk norm used for target feature-enhanced of SAR image is discussed in this paper. This method exploits the useful sparse prior information which is well consistent to the statistically property of SAR image, makes up the additional constraint condition, turns the problem of target feature-enhanced processing of SAR image into the simple-formed optimization problem. A fast iterative algorithm is proposed to solve the optimization problem. The Simulation results and computational results of measured data prove its validity.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59852P (4 January 2006); doi: 10.1117/12.657729
Show Author Affiliations
Xiong-liang Wang, National Univ. of Defense Technology (China)
Zheng-ming Wang, National Univ. of Defense Technology (China)
Chun-ling Wang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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