%0 Journal Article
%T SVM classification of SAR images based on texture and internal edge<br>.基于纹理和边缘的SAR图像SVM分类*
%A LONG Hai-xiang
%A GAO Xin
%A <br>龙海翔
%A 高鑫
%J 计算机应用研究
%D 2011
%I 
%X For efficient land cover classification in SAR images,this paper studied 4 textural features based on GLCM and 2 edge features.First,it analyzed every individual feature for their discriminative ability for SVM SAR image classification into various land cover types.And then,chose several feature sets for SVM SAR image classification,and fused these features using PCA.The difference between PCA-and non-PCA-based classifications was also analyzed.The result shows the feature set comprising energy,edge length,...
%K SAR image classification
%K texture feature extraction
%K edge feature extraction
%K gray level co-occurrence matrix(GLCM)
%K support vector machine(SVM)
%K principal component analysis(PCA)<br>合成孔径雷达图像分类
%K 纹理特征提取
%K 边缘特征提取
%K 灰度共生矩阵
%K 支持向量机
%K 主成分分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=49438F68A18A45244DC2025CF909E1B3&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=770E3C18E0551A73&eid=D672354CC1D5E92F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12