%0 Journal Article
%T Adaptive Anisotropic Diffusion Filter for Multispectral Remote Sensed Image<br>多光谱遥感图像的自适应各向异性扩散滤波
%A WANG Yi
%A ZHANG Liang-pei
%A LI Ping-xiang
%A <br>王毅
%A 张良培
%A 李平湘
%J 遥感学报
%D 2005
%I 
%X Image filtering preprocessing which is helpful for increasing the signal to noise ratio(SNR),decreasing the intra-class spectral variability and spatially smoothing homogeneous areas on the image can prove very useful for further discrimination of ground objects,image segmentation and classification processing.In this paper,two nonlinear anisotropic diffusion filtering methods are presented and they are based on the multispectral anisotropic diffusion models proposed by Pope and Acton.We build a couple of new diffusion coefficients in partial derivative equation(PDE) based on Tukey's biweight estimator error norm by recurring to the relationship between robust statistics and anisotropic diffusion incorporated with the nonlinear time-dependent cooling technique for gradient threshold.Our methods not only effectively remove the impulsive noise caused by sensors,but also preferably preserve important detailed edges and image quality in remotely sensed images.Experimental results are given to show that the improved methods have superiority capability over the multispectral anisotropic diffusion schemes proposed by Pope and Acton on visual judgment and quality statistical analysis and they are very ideal edge-preserving filtering methods.
%K anisotropic diffusion
%K multispectral remote sensed image
%K diffusion coefficient
%K robust statistics
%K nonlinear cooling technique<br>各向异性扩散
%K 多光谱遥感图像
%K 扩散系数
%K 稳健统计学
%K 非线性退化技术
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=1A57928610A22FEC&yid=2DD7160C83D0ACED&vid=9CF7A0430CBB2DFD&iid=B31275AF3241DB2D&sid=00520952CD4BF212&eid=1C3BB0F444F5E427&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=13