摘要
Due to the features of the multi-spectral images, the result with the usual methods based on the support vector machine (SVM) and binary tree is not satisfactory. In this paper, a fuzzy SVM multi-class classifier with the binary tree is proposed for the classification of multi-spectral images. The experiment is conducted on a multi-spectral image with 6 bands which contains three classes of terrains. The experimental results show that this method can improve the segmentation accuracy.
Due to the features of the multi-spectral images, the result with the usual methods based on the support vector machine （SVM） and binary tree is not satisfactory. In this paper, a fuzzy SVM multi-class classifier with the binary tree is proposed for the classification of multi-spectral images. The experiment is conducted on a multi-spectral image with 6 bands which contains three classes of terrains. The experimental results show that this method can improve the segmentation accuracy.
基金
supported by the National Natural Science Foundation of China (Nos.60773073 and 60604010)
National High Technology Research and Development Program of China (Nos.2007AA01Z450 and 2007AA01Z188)
Key Project of Ministry of Education of China (No.208010)
Education Science and Technology Foundation of Tianjin (No.2006BA19)
