An Automatic Target Recognition Algorithm Based on Support Vector Machine

被引：0
|
作者：
Zhang He [1 ]
Li Jie [2 ]
Xu Beibei [2 ]
机构：
[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
来源：
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE IV, PTS 1-5 | 2014年 / 496-500卷
关键词：
Automatic target recognition; Support vector machine; Feature extraction; PATTERN-RECOGNITION;
D O I：
10.4028/www.scientific.net/AMM.496-500.1873
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：1873 / +
页数：2
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