The Implication of Boundary Adjustment in H/Alpha Plane on the Unsupervised Wishart Maximum Likelihood Segmentation for Fully Polarimetric SAR Data
In the practical work of the H/Alpha Wishart Maximum Likelihood segmentation, Cloude-Pottiers original boundary scheme would have often been a default setting. In this paper, the implication of boundary adjustment in H/Alpha plane on the unsupervised Wishart ML segmentation for fully polarimetric SAR data is researched. Four boundary adjustment schemes are designed, and the Wishart ML segmentation results are compared with that of the original boundary scheme. The analysis illustrates that boundary setting in H/Alpha plane is an important factor affecting the H/Alpha Wishart ML segmentation performance.
polarimetric synthetic aperture radar (SAR) unsupervised segmentation Cloude-Pottier decomposition Wishart boundary adjustment
Li Liu Yun Shao Kun Li Fengli Zhang Li Liu Kun Li
Institute of Remote Sensing Application, Chinese Academy of Sciences (IRSA, CAS),Beijing, China Graduate University of Chinese Academy of Sciences (GUCAS), Beijing, China
国际会议
杭州
英文
388-393
2012-03-23(万方平台首次上网日期,不代表论文的发表时间)