An Automatic Target Recognition Algorithm Based on Support Vector Machine

He Zhang; Jie Li; Bei Bei Xu

doi:10.4028/www.scientific.net/AMM.496-500.1873

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500An Automatic Target Recognition Algorithm Based on...

An Automatic Target Recognition Algorithm Based on Support Vector Machine

Abstract:

To improve the performance of automatic target recognition technology and solve the problems of traditional methods, such as high false alarm rate and poor adaptability to environment changes, a new algorithm based on support vector machine is proposed. We have realized the feature extraction of the target and the parameter optimization of the support vector machine to get the support vector machine model applied to the target recognition of unknown images. Experiment results show that the algorithm has a good recognition effect, a fast recognition speed and certain anti-interference abilities based on sufficient samples training.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

1873-1876

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.1873

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Cite this paper

Online since:

January 2014

Authors:

He Zhang*, Jie Li, Bei Bei Xu

Keywords:

Automatic Target Recognition, Feature Extraction, Support Vector Machine (SVM)

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* - Corresponding Author

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