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基于GEP的遥感数字图像模糊聚类研究
引用本文:刘海涛,元昌安,刘海龙,薛琳,李桂来.基于GEP的遥感数字图像模糊聚类研究[J].计算机工程,2010,36(10):199-200.
作者姓名:刘海涛  元昌安  刘海龙  薛琳  李桂来
作者单位:1. 临沂师范学院信息学院,临沂,276000;广西师范学院,南宁,530001
2. 广西师范学院,南宁,530001
3. 华南师范大学计算机学院,广州,510631
4. 临沂师范学院信息学院,临沂,276000
基金项目:国家自然科学基金资助项目“基因表达式编程的机理及高效算法研究”(60763012);;广西高等学校优秀人才资助计划基金资助项目“基于GEP知识发现的机理及算法研究”(RC2007022)
摘    要:针对遥感信息的不确定性和混合像元问题,分析FCM算法。为了避免FCM初值选取不当而陷入局部最优,提出基于基因表达式编程的遥感数字图像模糊聚类算法。该算法可以利用外层GEP算法的全局寻优能力,确定最佳初始聚类中心,再利用内层FCM算法的模糊聚类和局部快速收敛的特性获得遥感数字图像的最优聚类。

关 键 词:基因表达式编程  遥感  数字图像  模糊聚类

Study of Remote Sensing Digital Image Fuzzy Clustering Based on GEP
LIU Hai-tao,YUAN Chang-an,LIU Hai-long,XUE Lin,LI Gui-lai.Study of Remote Sensing Digital Image Fuzzy Clustering Based on GEP[J].Computer Engineering,2010,36(10):199-200.
Authors:LIU Hai-tao  YUAN Chang-an  LIU Hai-long  XUE Lin  LI Gui-lai
Affiliation:(1. Information College, Linyi Normal University, Linyi 276000; 2. Guangxi Teachers Education University, Nanning 530001;3. School of Computer, South China Normal University, Guangzhou 510631)
Abstract:The accuracy of traditional classification method based on remote sensing image is difficult to achieve practical requirements because of remote sensing information uncertainty and the existence of mixed pixel. So Fuzzy C-Means clustering method is analyzed and realized. The researches show the behavior of the FCM clustering depends on the quality of the initialization of the parameters strongly. Remote Sensing Digital Image Fuzzy Clustering based on Gene Expression Programming(RSDIFC-GEP) is proposed and realized. By incorporating the local and global search and taking the clustering result of GEP as the initialized value of the FCM, the algorithm eliminates FCM trapped local optimum and is sensitive to initial value effectively.
Keywords:Gene Expression Programming(GEP)  remote sensing  digital image  fuzzy clustering
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