%0 Journal Article
%T A Method for Classification of Multi-spectral Remotely Sensed Image Based on Spatial Fuzzy Texture Spectrum<br>基于空间模糊纹理光谱的多光谱遥感图像分类方法
%A LIN jian
%A WANG Run-sheng
%A BAO Guang-shu
%A GAO Guang-ming
%A LIN jian
%A WANG Run-sheng
%A BAO Guang-shu
%A GAO Guang-ming
%A LIN jian
%A WANG Run-sheng
%A BAO Guang-shu
%A GAO Guang-ming
%A LIN jian
%A WANG Run-sheng
%A BAO Guang-shu
%A GAO Guang-ming
%A <br>林剑
%A 王润生
%A 鲍光淑
%A 高光明
%J 中国图象图形学报
%D 2006
%I 
%X In order to make full use of texture information of all spectral bands,and take into account the characteristic of significant correlation between the different bands,this paper presents a method to describe texture of multi-spectral remotely sensed image with spatial fuzzy texture spectrum.Based on multi-scale character of texture,the method implements two fuzzy texture filtering algorithm,the first filtering uses triangle membership function,while the second uses spatial distance in place of plane distance.The spatial membership distribution of the fuzzy image is denoted as spatial fuzzy texture spectrum.With classification by FasART(fuzzy adaptive system.ART-based) networks,experimental results show that the proposed method has higher classification precision,especially to the complex texture area.
%K uncertainty of the uniform surface
%K fuzzy texture filtering
%K spatial fuzzy texture spectrum
%K FasART networks<br>均一表面不确定性
%K 模糊纹理滤波
%K 空间模糊纹理光谱
%K FasART神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9CB69DC352F016A7&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=0B39A22176CE99FB&sid=50BBDFAC8381694B&eid=D1F7974329F80D770A1AA3D54855DA6C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=5