%0 Journal Article
%T Self-adaptive fusion method for remote sensing images based on regional performance<br>基于区域性能的自适应遥感图像融合方法
%A LIU Yuan
%A YIN Dong
%A CHEN Xin
%A YAO Ting
%A <br>刘媛
%A 尹东
%A 陈昕
%A 等
%J 计算机应用
%D 2005
%I 
%X In order to consider image fusion evaluation information when choose a fusion method, a self-adaptive fusion method for SAR and optical images based on regional performance was proposed. Firstly, a smooth filter template was used to suppress the speckle of SAR image. Then the wavelet transform was used to perform a mttltiscale decomposition of each image, To low-frequency images, by extracting a set of regional performance parameters respectively, a self-adaptive fusion was applied with the regulation of membership degree; the fusion of high-frequency images adopted high-frequency of the optical image directly. The result image was generated by reverse wavelet transform, Experiment results show that this method can obtain satisfactory effect.
%K image fusion
%K wavelet transform
%K region performance
%K self-adaptive weighting<br>图像融合
%K 小波变换
%K 区域性能
%K 自适应加权
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=AF77187BF330906B&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=B0B896F08D444B98&eid=6322700FAECA3E16&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9