Infrared target recognition based on support vector machine

Fang Zi, Ke Zhang, Dawei Zhao

科研成果: 期刊稿件会议文章同行评审

摘要

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.

源语言英语
文章编号59853M
期刊Proceedings of SPIE - The International Society for Optical Engineering
5985 PART II
DOI
出版状态已出版 - 2005
活动International Conference on Space Information Technology - Wuhan, 中国
期限: 19 11月 200520 11月 2005

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