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Proceedings Paper

A new classification algorithm based on multi-kernel Support Vector Machine on infrared cloud background image
Author(s): Tiebing Wang; Yiyu Zhou; Shenda Xu; Chuxiong Cheng
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Paper Abstract

A new classification algorithm based on multi-kernel support vector machine (SVM) was proposed for classification problems on infrared cloud background image. The experimental results show that the method integrates the advantages of polynomial kernel functions, Gaussian radial kernel functions and multilayer perception kernel functions. Compared with the traditional single-kernel SVM classification method, the proposed method has better performance both in local interpolation and global extrapolation, and is more suitable for SVM classification problems when the training sample size is small. Experimental results show the superiority of the proposed algorithm..

Paper Details

Date Published: 5 November 2015
PDF: 6 pages
Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97951I (5 November 2015); doi: 10.1117/12.2216035
Show Author Affiliations
Tiebing Wang, National Univ. of Defense Technology (China)
Yiyu Zhou, National Univ. of Defense Technology (China)
Shenda Xu, National Univ. of Defense Technology (China)
Chuxiong Cheng, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9795:
Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015
Shenggang Liu; Songlin Zhuang; Michael I. Petelin; Libin Xiang, Editor(s)

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