西安电子科技大学学报（自然科学版）Issue(3)：15-21,89,8.DOI:10.3969/j.issn.1001-2400.2015.03.003
一种SAR目标属性特征提取算法
Novel method for attributed feature extraction from SAR imagery
摘要
Abstract
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.关键词
合成孔径雷达自动目标识别/极化/特征提取/稀疏Key words
synthetic aperture radar automatic target recognition/polarimetry/feature extraction/sparse分类
信息技术与安全科学引用本文复制引用
李飞,纠博,王英华,罗涛,刘宏伟..一种SAR目标属性特征提取算法[J].西安电子科技大学学报（自然科学版）,2015,(3):15-21,89,8.基金项目
国家自然科学基金资助项目(61271024,61201292,61201283) （61271024,61201292,61201283）
新世纪优秀人才支持计划资助项目(NCET-09-0630) （NCET-09-0630）
全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156) （FANEDD-201156）
中央高校基本科研业务费专项资金联合资助项目 （）
