基于主成分分析的空中目标识别  

Aerial Target Recognition Based on the Principal Component Analysis

作　　者：李可心[1] 徐国鑫[1] 肖俊岭 

机构地区：[1]沈阳炮兵学院,辽宁沈阳110162

出　　处：《现代防御技术》2008年第3期1-5,共5页Modern Defence Technology

摘　　要：在对空中目标类型进行归类的基础上,建立了融合目标战术特征和物理特征的评价指标体系,运用多元统计分析中的主成分分析法对空中目标识别中的多项指标进行了综合聚集,在理想点的基础上建立了综合优化决策模型。实例验证该模型能有效地解决目标类型识别的问题。Based on the classifying about aerial target,the system of evaluating index which comprises tactical characters and physical characters of target is founded,and the principal component analysis method of the multivariate statistical analysis to accumulate the various indexes of the identity of aerial target is applied,a synthetical majorized decision model that based on the ideal point is set up.The example proves that this model can be used for solving the problem of target type classification effectively.

关 键 词：目标识别 主成分分析 优化决策模型 

分 类 号：TN971[电子电信—信号与信息处理]