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题名: PolSAR Image Fast Classification Based on Random Similarity
作者: Li, Dong; Zhang, Yunhua; Zhu, Feiya
作者部门: 微波遥感部
会议名称: Progress in Electromagnetics Research Symposium - Spring (PIERS)
会议日期: MAY 22-25, 2017
会议地点: St Petersburg, RUSSIA
会议录: 2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS)
出版日期: 2017
收录类别: CPCI
页码: 883-888
ISBN号: 978-1-5090-6269-0
英文摘要: 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.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.nssc.ac.cn/handle/122/6302
Appears in Collections:微波遥感部_会议论文

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