%0 Journal Article
%T Coherence MAP Classification and Its Application in Two-Dimensional Phase Unwrapping<br>相关系数图分类及其在干涉SAR二维相位展开中的应用
%A Yun Ri-sheng
%A Peng Hai-liang
%A Wang Yan-ping
%A <br>云日升
%A 彭海良
%A 王彦平
%J 电子与信息学报
%D 2004
%I 
%X Based on the analyzing of the relation between interferometric SAR coherence map classification and two-dimensional phase unwrapping, coherence map classification is applied in two-dimensional phase unwrapping. A K-mean and Markov random field combined classification algorithm is presented for the coherence map classification. The classified coherence map is used to confine the propagation of the local phase errors of low coherence regions during the two-dimensional phase unwrapping. The experiments on airborne X-band InSAR data show the validity of this approach.
%K Interferometric SAR
%K Two-dimensional phase unwrapping
%K Coherence map classification
%K K-mean classification
%K Markov random field<br>干涉SAR
%K 二维相位展开
%K 相关系数图分类
%K K-均值分类
%K Markov随机场
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4C6F1636392041EE&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=D4D26E96843E8F48&eid=E7F52902BDBF1DF2&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7