NSSC OpenIR  > 微波遥感部
PolSAR Image Fast Classification Based on Random Similarity
Li, Dong; Zhang, Yunhua; Zhu, Feiya
Department微波遥感部
Source Publication2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS)
2017
Pages883-888
Language英语
ISBN978-1-5090-6269-0
AbstractRandom 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.
Conference NameProgress in Electromagnetics Research Symposium - Spring (PIERS)
Conference DateMAY 22-25, 2017
Conference PlaceSt Petersburg, RUSSIA
Indexed ByCPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6302
Collection微波遥感部
Recommended Citation
GB/T 7714
Li, Dong,Zhang, Yunhua,Zhu, Feiya. PolSAR Image Fast Classification Based on Random Similarity[C],2017:883-888.
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201708261868.pdf(398KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
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