%0 Journal Article
%T Polarimetric SAR Data Classification with Eigenvalue-based Decompositions<br>基于特征值分解的全极化SAR遥感数据分类研究
%A WANG Qing
%A LIAO Jing-juan
%A TIAN Bang-sen
%A <br>王 庆
%A 廖静娟
%A 田帮森
%J 遥感技术与应用
%D 2010
%I 
%X This paper applied the eigenvector\|based decompositions method,and studied the fine classification problem of the polarimetric SAR imagery.Under the analysis of H-Alpha plane,we introduced another characteristic parameter named the mean target power (span) which was presented with all of eigenvalues and pseudo\|probabilities.And a simple method of selecting thresholds to segment the mean target power of the targets was given,and the Radarsat-2 data of Poyang Lake area was used to test the method.After the analysis of classification results,we found that the method firstly considering the mean power information cound provide much more detailed classification than H-Alpha plane classification with only scattering entropy and angle information.
%K Radarsat-2
%K Fully polarimetric SAR
%K Eigenvector decompositions
%K Radarsat-2
%K Scattering power<br>全极化
%K 特征值分解
%K 散射功率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=6F56B81324C1B239DA82AE08A4344F0C&aid=AC6559AE08158A928465D56501F0BFDA&yid=140ECF96957D60B2&vid=C5154311167311FE&iid=CA4FD0336C81A37A&sid=4AD960B5AD2D111A&eid=42425781F0B1C26E&journal_id=1004-0323&journal_name=遥感技术与应用&referenced_num=0&reference_num=13