Model-based decomposition with adaptive selection of unitary transformations
文献类型:会议论文
作者 | Zhu, Feiya; Zhang, Yunhua![]() |
出版日期 | 2015 |
会议名称 | IET International Radar Conference 2015 |
会议日期 | October 14, 2015 - October 16, 2015 |
会议地点 | Hangzhou, China |
英文摘要 | In this paper a three component model-based decomposition with adaptive selection of unitary transformations for polarimetric synthetic aperture radar (POLSAR) data processing is proposed. Singh et al implemented two unitary transformations on the coherency matrix to minimize the power of cross-polarization, and as a result the T23element of the coherency matrix becomes zero. Another two unitary transformations are proposed by us to carry out on the coherency matrix also to minimize the power of crosspolarization, and the T13element of the coherency matrix becomes zero. Here, we first implement Singh's two unitary transformations and the proposed two unitary transformations on the coherency matrix separately. Then we select the one which leads to the smaller T33. At last, we carry out the three component model-based decomposition proposed by Freeman and Durden based on the obtained coherency matrix. The smaller T33is obtained, the better the over-estimation of volume scattering in model-based decomposition can be suppressed. The RADARSAT-2 POLSAR data of San Francisco area is used to validate the improvement of the proposed method over the three component decomposition only with Singh's two unitary transformations. |
收录类别 | EI |
会议录 | IET Conference Publications
![]() |
语种 | 英语 |
源URL | [http://ir.nssc.ac.cn/handle/122/5529] ![]() |
专题 | 国家空间科学中心_微波遥感部 |
推荐引用方式 GB/T 7714 | Zhu, Feiya,Zhang, Yunhua,Li, Dong,et al. Model-based decomposition with adaptive selection of unitary transformations[C]. 见:IET International Radar Conference 2015. Hangzhou, China. October 14, 2015 - October 16, 2015. |
入库方式: OAI收割
来源:国家空间科学中心
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。