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| 基于支持向量机的多传感器空中目标识别研究 | |
| 引用本文： | 刘海燕,陈红林,史志富,何艳萍.基于支持向量机的多传感器空中目标识别研究[J].火力与指挥控制,2009,34(8). |
| 作者姓名： | 刘海燕 陈红林 史志富 何艳萍 |
| 作者单位： | 1. 西北工业大学电子信息学院,陕西,西安,710072;第二炮兵工程学院,陕西,西安,710025 2. 西北工业大学电子信息学院,陕西,西安,710072 3. 第二炮兵工程学院,陕西,西安,710025 |
| 摘 要： | 针对空中目标识别的复杂性,将支持向量机引入对空中目标的多传感器识别,对其机理进行了详细分析,建立了基于支持向量机的空中目标识别的算法模型.仿真实验的结果表明,该方法具有很好的识别效果,并且是一种能在训练样本很少的情况下达到很好分类推广能力的学习算法. |
| 关 键 词： | 目标识别 支持向量机 多传感器 |
Multi-Sensors Target Recognition based on the Support Vector Machine |
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| LIU Hai-yan,CHEN Hong-lin,SHI Zhi-fu,HE Yan-ping.Multi-Sensors Target Recognition based on the Support Vector Machine[J].Fire Control & Command Control,2009,34(8). | |
| Authors: | LIU Hai-yan CHEN Hong-lin SHI Zhi-fu HE Yan-ping |
| Institution: | 1.Coll.of Electronics and Information;Northwestern Polytechnical University;Xi'an;710072;China;2.The Second Artillery Engineering College;Xi'an 710025;China |
| Abstract: | Focusing on the problem of the air target recognition,the support vector machine(SVM) as the classification was introduced.The mechanism of the SVM was particularly analyzed and the algorithm and method of target recognition based on the SVM was built.The simulation results show that the algorithm has a better recognition result and the algorithm is a learning algorithm which has good classification ability for limited training data set. |
| Keywords: | target recognition support vector machine multi-sensors |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |