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Proceedings Paper

Infrared target recognition based on support vector machine
Author(s): Fang Zi; Ke Zhang; Dawei Zhao
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Paper 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.

Paper Details

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 59853M (4 January 2006); doi: 10.1117/12.658202
Show Author Affiliations
Fang Zi, Northwestern Polytechnical Univ. (China)
Ke Zhang, Northwestern Polytechnical Univ. (China)
Dawei Zhao, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)

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