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