%0 Journal Article
%T Forest Mapping and Classification with Compact PolInSAR Data<br>Forest Mapping and Classification with Compact PolInSAR Data
%A Ningxiao Sun
%A Yuejin Zhao
%A Lin Sun
%A Qiongzhi Wu
%J 北京理工大学学报（自然科学中文版)
%D 2018
%R 10.15918/j.jbit1004-0579.17084
%X An unsupervised classification method was applied to compact polarimetric-interferometric SAR(C-PolInSAR) data to investigate its potential for forest mapping and classification. Unsupervised classification requires an initial class as a training set. In this paper, the compact polarimetric entropy H and the optimal coherence spectrum A were computed, and their capabilities for initial classification were analyzed. Based on the H and A, a partition method was proposed to subdivide the H-A plane, and initial classes were hence obtained. Next, unsupervised C-PolInSAR segmentation procedures based on H-A and the complex coherence matrix J4 were investigated. The effectiveness of the unsupervised classification of C-PolInSAR data was demonstrated by using an E-SAR L-band PolInSAR dataset of the Traunstein test site.<br>An unsupervised classification method was applied to compact polarimetric-interferometric SAR(C-PolInSAR) data to investigate its potential for forest mapping and classification. Unsupervised classification requires an initial class as a training set. In this paper, the compact polarimetric entropy H and the optimal coherence spectrum A were computed, and their capabilities for initial classification were analyzed. Based on the H and A, a partition method was proposed to subdivide the H-A plane, and initial classes were hence obtained. Next, unsupervised C-PolInSAR segmentation procedures based on H-A and the complex coherence matrix J4 were investigated. The effectiveness of the unsupervised classification of C-PolInSAR data was demonstrated by using an E-SAR L-band PolInSAR dataset of the Traunstein test site.
%K forest mapping unsupervised classification Wishart classifier optimal coherence set compact polarimetric-interferometric SAR (C-PolInSAR)&lt
%K br&gt
%K forest mapping unsupervised classification Wishart classifier optimal coherence set compact polarimetric-interferometric SAR (C-PolInSAR)
%U http://journal.bit.edu.cn/yw/bjlgyw/ch/reader/view_abstract.aspx?file_no=20180310&flag=1