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MRF框架下的区域增长模型在城镇识别中的应用
引用本文:陈荣元,郑晨,王雷光,秦前清.MRF框架下的区域增长模型在城镇识别中的应用[J].测绘学报,2011,40(2):163-168.
作者姓名:陈荣元  郑晨  王雷光  秦前清
作者单位:1. 湖南商学院;2. 武汉大学;3. 西南林学院;4. 武汉大学测绘遥感国家重点实验室;
基金项目:国家自然科学基金(41001256,41001286,40971219); 湖北省自然科学基金(2009CDA141); 湖南省教育厅资助科研项目(09C567); 中央高校基本科研业务费专项资金(002)
摘    要:提出一种MRF框架下以过分割区域为基本生长单位的区域增长模型,并以其实现城镇识别.该模型首先通过纹理分析和滤波运算得到初始种子点,然后由均值漂移算法运算过分割区域,并将种子点对应的区域设为种子区域,最后,从种子区域开始,根据MRF框架下提出的增长准则,得到最终的城镇识别结果.对QuickBird和IKONOS遥感影像的...

关 键 词:城镇识别  MRF  区域增长
收稿时间:2010-02-03
修稿时间:2010-09-16

A Region Growing Model Under the Framework of MRF for Urban Detection
CHEN Rongyuan,ZHENG Chen,WANG Leiguang,QIN Qianqing.A Region Growing Model Under the Framework of MRF for Urban Detection[J].Acta Geodaetica et Cartographica Sinica,2011,40(2):163-168.
Authors:CHEN Rongyuan  ZHENG Chen  WANG Leiguang  QIN Qianqing
Institution:CHEN Rongyuan1,3,ZHENG Chen2,WANG Leiguang3,QIN Qianqing3 1.Information Department of Hunan University of Commerce,Changsha 410205,China,2.School of Mathematics and Statistics,Wuhan University,Wuhan 430072,3.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan 430079
Abstract:A region growing model under the framework of MRF is proposed for urban detection and the basic unit of the model is over segmentation region.This model firstly obtains the initial seed points by texture analysis.Then the over segmentation regions are got by mean shift(MS) algorithm and the regions that include seed points are set to seed regions.At last,starting from the seed regions,the finally result of urban is detected through a growing criterion under the framework of MRF.The experiments of QuickBird ...
Keywords:urban detection  MRF  region growing  
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