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一种基于纹理的SAR图像居民区提取方法
引用本文:陈智鹏,向茂生,丙南.一种基于纹理的SAR图像居民区提取方法[J].遥感技术与应用,2008,23(2):229-234.
作者姓名:陈智鹏  向茂生  丙南
作者单位:(1.中国科学院电子学研究所微波成像技术国家重点实验室,北京100190,; 2.中国科学院研究生院,北京100039)
基金项目:国家高技术研究发展计划(863计划)
摘    要:居民区是SAR图像中比较重要的一类地物,它的提取在许多方面有着重要的应用。给出了一种居民区提取方法,根据居民区具有的高亮度和规范的纹理特性,利用Sobel算子和Otsu阈值处理得到居民区离散点图,再用K均值将其分割成块,最后用格雷厄姆方法生成居民区的边界,实现了居民区的自动提取。实验处理结果表明,该方法是一种有效的居民区提取方法。

关 键 词:SAR  居民区  Sobel算子  Otsu阈值  K均值  凸壳  格雷厄姆方法  
文章编号:1004-0323(2008)02-0229-06
修稿时间:2007年12月25

A Method of Residential Areas Extraction in the SAR Based on Texture Features
CHEN Zhi-peng,XIANG Mao-sheng,WANG Bing-nan.A Method of Residential Areas Extraction in the SAR Based on Texture Features[J].Remote Sensing Technology and Application,2008,23(2):229-234.
Authors:CHEN Zhi-peng  XIANG Mao-sheng  WANG Bing-nan
Affiliation:(1.National Key Lab.of Microwave Imaging Technology,the Institute of Electronic,; Chinese Academy of Sciences,Beijing 100190,China;2.Graduate School of Chinese Academy ; of Sciences,Beijing 100039,China)
Abstract:Residential areas are a familiar object which appears in SAR images,and it has many vital applications in various aspects.A new solution of residential areas extraction is presented in this paper.According high gray value and texture feature of residential areas,we convert the SAR image to discrete points of residential areas with Sobel operator and Otsu threshold algorithm,then we segment it in several blocks with Kmeans clustering,finally implement automatic residential areas extraction using Graham algorithm.Both the theoretical analyses and the experimental results indicate that the proposed method is a highly efficient method of residential areas extraction.
Keywords:SARzz  Residential areaszz  Obel operatorzz  Otsu thresholdzz  Means clusteringzz  Convex hullzz  Graham algorithmzz
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