PolSAR Image Fast Classification Based on Random Similarity
文献类型：会议论文
| 作者 | Li, Dong; Zhang, Yunhua ; Zhu, Feiya
|
| 出版日期 | 2017 |
| 会议日期 | MAY 22-25, 2017 |
| 会议地点 | St Petersburg, RUSSIA |
| 页码 | 883-888 |
| 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. |
| 会议录 | 2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS)
 |
| 语种 | 英语 |
| ISBN号 | 978-1-5090-6269-0 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/6302]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | Li, Dong,Zhang, Yunhua,Zhu, Feiya. PolSAR Image Fast Classification Based on Random Similarity[C]. 见:. St Petersburg, RUSSIA. MAY 22-25, 2017. |
入库方式： OAI收割
来源：国家空间科学中心
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