%0 Journal Article
%T SAR Image Segmentation Based on Multiscale AutoRegressive and Markov Random Field Models<br>基于MAR-MRF的SAR图像分割方法
%A Liu Ai-ping
%A Fu Kun
%A You Hong-jian
%A Liu Zhong
%A <br>刘爱平
%A 付琨
%A 尤红建
%A 刘忠
%J 电子与信息学报
%D 2009
%I 
%X A method of SAR image segmentation based on Multiscale AutoRegressive and Markov Random Field (MAR-MRF) models is presented. MAR models is used to establish mathematic relationship among different image layers, and is combined with Markov Random Field (MRF) segment models. This method takes into account the dependence of neighbor layers Markov property of the same layer, and uses forecasting result of the MAR models to direct the fine layer segmentation. Experimental results on SAR image show that this method reduces the iterative times of segmentation and inaccuracy classify blocks, and gets clear and smooth object border.
%K SAR image processing
%K Multiscale AutoRegressive (MAR)
%K Markov Random Field (MRF)
%K Multiscale segmentation
%K Gibbs Random Field (GRF)<br>SAR图像处理
%K 多尺度自回归
%K 马尔科夫随机场
%K 多尺度分割
%K 吉布斯随机场
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1461DF566F8D191F0BAE5161D917BE91&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=708DD6B15D2464E8&sid=A864A519375A60EB&eid=C4EA75F318381759&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=14