Study on the classification of multi-spectral images based on a FSVM multi-class classifier with the binary tree

被引：2
|
作者：
Wang H.-B. [1 ]
Ma J.-H. [1 ]
Wang C.-D. [1 ]
机构：
[1] Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology, Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology
来源：
Optoelectronics Letters | 2010年 / 6卷 / 1期
基金：
中国国家自然科学基金;
关键词：
Binary Tree; Optimal Hyperplane; Remote Sensing Symposium; High Resolution Satellite Image; Fuzzy Factor;
D O I：
10.1007/s11801-010-9033-7
中图分类号：
学科分类号：
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. © 2010 Tianjin University of Technology and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：61 / 64
页数：3
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