中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Canonical Huynen Decomposition of Radar Targets

文献类型:会议论文

作者Li, Dong; Zhang, Yunhua
出版日期2015
会议名称Conference on SAR Image Analysis, Modeling, and Techniques XV
会议日期SEP 23-24, 2015
会议地点Toulouse, FRANCE
关键词Canonical Huynen dichotomy Huynen-type target dichotomy target decomposition scattering preference phenomenological theory physical realizability conditions polarimetric synthetic aperture radar target extraction
页码96420A
通讯作者Li, D (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, 1 Nanertiao, Beijing 100190, Peoples R China.
英文摘要Huynen decomposition prefers the world of basic symmetry and regularity (SR) in which we live. However, this preference restricts its applicability to ideal SR scatterer only. As for the complex non-symmetric (NS) and irregular (IR) scatterers such as forest and building, Huynen decomposition fails to analyze their scattering. The canonical Huynen dichotomy is devised to extend Huynen decomposition to the preferences for IR and NS. From the physical realizability conditions of polarimetric scattering description, two other dichotomies of polarimetric radar target are developed, which prefer scattering IR, and NS, respectively, and provide two competent supplements to Huynen decomposition. The canonical Huynen dichotomy is the combination of the two dichotomies and Huynen decomposition. In virtue of an adaptive selection, the canonical Huynen dichotomy is used in target extraction, and the experiments on AIRSAR San Francisco data demonstrate its high efficiency and excellent discrimination of radar targets.
收录类别EI ; CPCI
会议主办者SPIE
会议录SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XV
语种英语
ISSN号0277-786X
ISBN号978-1-62841-852-1
源URL[http://ir.nssc.ac.cn/handle/122/5364]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
Li, Dong,Zhang, Yunhua. Canonical Huynen Decomposition of Radar Targets[C]. 见:Conference on SAR Image Analysis, Modeling, and Techniques XV. Toulouse, FRANCE. SEP 23-24, 2015.

入库方式: OAI收割

来源:国家空间科学中心

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