%0 Journal Article
%T Edge enhancement using fuzzy anisotropic diffusion for remote sensing image<br>各向异性扩散的遥感图像边缘增强方法
%A SUN Jian-zhong
%A XIONG Zhong-Yang
%A ZHANG Yu-fang
%A <br>孙建中
%A 熊忠阳
%A 张玉芳
%J 计算机应用研究
%D 2012
%I 
%X To solve the problem of distinguishing noise from weak edges, this paper proposed a novel fuzzy anisotropic diffusion approach for remote sensing image edge enhancement. At first, it gathered the geometrical information pixel by pixel from the NSCT coefficients. Then, it obtained the mean and max fuzzy membership values by analyzing the distribution of coefficients and noise variance in different sub-bands. At last, calculated the diffusion coefficients through fuzzy inference and embedded it into anisotropic diffusion to better control on the diffusion processing. Experiments show that the proposed method has better edge enhancement and de-noised performance and efficiently preserve the weak edges and reduce the time complexity.
%K remote sensing image
%K anisotropic diffusion(AD)
%K fuzzy inference
%K nonsubsampled contourlet
%K edge enhancement<br>遥感图像
%K 各向异性扩散
%K 模糊推理
%K 非下采样轮廓波
%K 边缘增强
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4189763B19B8AD45108F94C6CD7E822E&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=D418FDC97F7C2EBA&eid=8A15F8B0AA0E5323&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=18