A new classification algorithm based on multi-kernel Support Vector Machine on infrared cloud background image

Tiebing Wang; Yiyu Zhou; Shenda Xu; Chuxiong Cheng

doi:10.1117/12.2216035

5 November 2015 A new classification algorithm based on multi-kernel Support Vector Machine on infrared cloud background image

Tiebing Wang, Yiyu Zhou, Shenda Xu, Chuxiong Cheng

Author Affiliations +

Proceedings Volume 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015; 97951I (2015) https://doi.org/10.1117/12.2216035
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held June-July 2015, 2015, Hefei, Suzhou, and Harbin, China

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..

Citation Download Citation

Tiebing Wang, Yiyu Zhou, Shenda Xu, and Chuxiong Cheng "A new classification algorithm based on multi-kernel Support Vector Machine on infrared cloud background image", Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97951I (5 November 2015); https://doi.org/10.1117/12.2216035

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