Infrared target recognition based on support vector machine

Fang Zi; Ke Zhang; Dawei Zhao

doi:10.1117/12.658202

4 January 2006 Infrared target recognition based on support vector machine

Fang Zi, Ke Zhang, Dawei Zhao

Proceedings Volume 5985, International Conference on Space Information Technology; 59853M (2006) https://doi.org/10.1117/12.658202
Event: International Conference on Space information Technology, 2005, Wuhan, China

Abstract

Support vector machine (SVM) can effectively improve the algorithm's generalization capability. This paper proposes a support vector machine target recognition method based on the target infrared feature and edge invariant moments. The simulation result shows it is faster than others. The discrimination is higher than the K-nearby method's one.

Citation Download Citation

Fang Zi, Ke Zhang, and Dawei Zhao "Infrared target recognition based on support vector machine", Proc. SPIE 5985, International Conference on Space Information Technology, 59853M (4 January 2006); https://doi.org/10.1117/12.658202

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