Novel method for attributed feature extraction from SAR imagery

被引：1
作者：
Li, Fei [1 ]
Jiu, Bo [1 ]
Wang, Yinghua [1 ]
Luo, Tao [1 ]
Liu, Hongwei [1 ]
机构：
[1] National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2015年 / 42卷 / 03期
关键词：
Feature extraction; Polarimetry; Sparse; Synthetic aperture radar automatic target recognition;
D O I：
10.3969/j.issn.1001-2400.2015.03.003
中图分类号：
学科分类号：
摘要：
Aiming to extract attributed features of overlapped attributed scattering centers, a new method for attributed feature extraction of the SAR target is proposed based on the fully polarimetric attributed scattering center model by considering the sparsity of the scattering center in the space domain and scattering mechanism domain. According to this sparsity, the row sparse constraint and matrix sparse constraint are imposed on the polarimetric decomposition coefficient matrix of the target, respectively. Since the polarimetric scattering mechanism dictionary contains an unknown parameter, the coordinate decent technique is employed to optimize the polarimetric decomposition coefficient matrix and polarimetric scattering mechanism dictionary for attributed feature extraction (attributed scattering center and polarimetric signature). Numerical results on electromagnetic computation data verify the validity of the proposed algorithm. ©, 2015, Science Press. All right reserved.
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页码：15 / 21and89
页数：2174
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