徐芳, 燕琴. 基于支持向量机的航空影像纹理分类研究[J]. 武汉大学学报 ( 信息科学版), 2003, 28(5): 517-520.
引用本文: 徐芳, 燕琴. 基于支持向量机的航空影像纹理分类研究[J]. 武汉大学学报 ( 信息科学版), 2003, 28(5): 517-520.
XU Fang, YAN Qin. Texture Classification of Aerial Images Based on Support Vector Machines[J]. Geomatics and Information Science of Wuhan University, 2003, 28(5): 517-520.
Citation: XU Fang, YAN Qin. Texture Classification of Aerial Images Based on Support Vector Machines[J]. Geomatics and Information Science of Wuhan University, 2003, 28(5): 517-520.

基于支持向量机的航空影像纹理分类研究

Texture Classification of Aerial Images Based on Support Vector Machines

  • 摘要: 提出一种用SVM解决航空影像纹理分类的方法。在利用一些常用的纹理特征的基础上,将SVM用于航空影像纹理分类,有效地解决了特征选择难和高维数问题。试验表明,这种方法可以取得较好的结果。

     

    Abstract: This paper applies the support vector machines(SVM) to the texture classification of aerial images.The SVM is a new learning machine for two-group classification problems.SVM approach uses the kernel method to map the data with a non-linear transformation to a higher dimensional space and in that space attempts to find a linear separating surface between the two classes.The complexity relies on the number of samples,especially the number of support vector.This can solve the problem of small number of samples and higher dimensional features.The experiments show that the results are better.

     

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