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A Novel Approach for Feature Selection Based on Ant Colony Optimization Algorithm
Author(s): 
Pages: 1127-1130
Year: Issue:  12
Journal: GEOMATICS AND INFORMATION SCIENCE OF WUNAN UNIVERSITY

Keyword:  蚁群优化算法特征选择纹理分类最优特征子集;
Abstract: 利用蚁群优化算法解决特征选择问题,以获得能代表问题空间的较优特征子集,并能降低分类系统的搜索空间.以航空纹理影像的特征选择和分类问题为例,利用主分量变换和蚁群优化算法分别对原始纹理影像特征集合进行特征提取、选择和分类.结果表明,本文方法不仅能够降低图像特征空间维数,减少图像分类的工作量,而且还可以提高分类识别的正确率.
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