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。
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.
出处
《火力与指挥控制》
CSCD
北大核心
2009年第8期93-96,104,共5页
Fire Control & Command Control
关键词
目标识别
支持向量机
多传感器
target recognition ,support vector machine ,multi-sensors
