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Genetic feature selection for texture classification
Authors:Pan Li  Zheng Hong  Zhang Zuxun  Zhang Jianqing
Affiliation:School of Remote Sensing and Information Engineering , Wuhan University , Wuhan , China
Abstract:This paper presents a novel approach to feature subset selection using genetic algorithms. This approach has the ability to accommodate multiple criteria such as the accuracy and cost of classification into the process of feature selection and finds the effective feature subset for texture classification. On the basis of the effective feature subset selected, a method is described to extract the objects which are higher than their surroundings, such as trees or forest, in the color aerial images. The methodology presented in this paper is illustrated by its application to the problem of trees extraction from aerial images.
Keywords:genetic algorithms  feature selection  texture classification  fuzzy c-mean
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