PolSAR Image Fast Classification Based on Random Similarity

被引：0
|
作者：
Li, Dong [1 ]
Zhang, Yunhua [1 ]
Zhu, Feiya [1 ]
机构：
[1] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
来源：
2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS) | 2017年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Random similarity is used to construct an entropy/alpha-like classification of PolSAR image in terms of two parameters, i.e., the similarity-based angle a, and entropy H8. a, and H, are analogous to the Cloude-Pottier angle a and entropy H to characterize scattering mechanism and randomness, respectively. Comparative experiment with Hla classification on both airborne and spaceborne Po1SAR images demonstrates the nice target discrimination and efficiency improvement of the proposed Hs/a, scheme.
引用
收藏
页码：883 / 888
页数：6
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