%0 Journal Article
%T Unsupervised segmentation of SAR image based on multiscale stochastic model<br>基于多尺度随机模型的SAR图像无监督分割
%A XU Hai-xia
%A TIAN Zheng
%A MENG Fan
%A <br>徐海霞
%A 田 铮
%A 孟 帆
%J 计算机应用
%D 2005
%I 
%X The presence of speckle in Synthetic Aperture Radar(SAR) images makes the segmentation of such images difficult,either by gray levels or by texture.According to the mechanism of SAR imaging,two unsupervised segmentation methods were proposed based on two class of multiscale stochastic model,namely multiscale autoregressive(MAR) model and multiscale autoregressive moving average(MARMA) model.These models capture the statistical information in a multiscale sequence of SAR image,which is then used to implement unsupervised segmentation of SAR image via multiresolution mixture algorithm.Experimental results over SAR images confirm the proposed segmentation methods are valid.
%K unsupervised segmentation of SAR image
%K muitiscale stochastic model
%K multiscale autoregressive model
%K multiscale autoregressive moving average model
%K multiresolution mixture algorithm<br>SAR图像无监督分割
%K 多尺度随机模型
%K 多尺度自回归模型
%K 多尺度自回归滑动平均模型
%K 多分辨混合算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=EB5A5B251CFDB591&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=097335C23A0E51D9&eid=D0540156A5D11138&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6