国土资源遥感Issue(2)：19-25,7.
基于多分类器组合的遥感影像分类方法研究
Method for Classification of Remote Sensing Images Based on Multiple Classifiers Combination
摘要
Abstract
In consideration of the features of remote sensing image, this paper presents a new method for classification of remote sensing images based on multiple classifiers combination. In this method, three supervised classifications, Mahalanobis Distance, Maximum Likelihood and SVM, which are of more precision and better diversity in classification, are selected to serve as the sub -classifications, and the simple vote classification,maximum probability category method and fussy integral method are combined together according to certain rules.The authors adopted Huairen county in Shanxi as the study area for land use classification using color infrared aerial images. Experimental result showed that the overall classification accuracy was improved by 12％ and Kappa coefficient was increased by 0.12 in comparison with SVM classification which has the highest accuracy in single sub - classifications. This result indicates that the classification of multiple classifiers combination is an effective classification method.关键词
多分类器/遥感影像分类/土地利用类型/IDLKey words
Multiple classifiers/ Remote sensing classification/ Land use/ IDL分类
信息技术与安全科学引用本文复制引用
彭正林,毛先成,刘文毅,何美香..基于多分类器组合的遥感影像分类方法研究[J].国土资源遥感,2011,(2):19-25,7.基金项目
国家"十一五"科技支撑计划课题(编号:2006BAB01A12)资助成果. （编号:2006BAB01A12）
