| PolSAR Image Fast Classification Based on Random Similarity | |
Li, Dong; Zhang, Yunhua ; Zhu, Feiya
| |
| Department | 微波遥感部 |
| Source Publication | 2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS) |
| 2017 | |
| Pages | 883-888 |
| Language | 英语 |
| ISBN | 978-1-5090-6269-0 |
| Abstract | 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. |
| Conference Name | Progress in Electromagnetics Research Symposium - Spring (PIERS) |
| Conference Date | MAY 22-25, 2017 |
| Conference Place | St Petersburg, RUSSIA |
| Indexed By | CPCI |
| Document Type | 会议论文 |
| Identifier | http://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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 201708261868.pdf（398KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
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