摘要
将类特征分为分类性类特征与识别性类特征,提出了用传统的主成分分析法与改进的主成分分析法确定类特征的基本思路,并给出了求取两种类特征的具体实例.有关分析表明,由于未知目标经过了两类特征的两级比较,所以识别的效率与精度大大提高.
In this paper, the opinion is presented that category feature includes two kinds： classification feature and recognition feature . The idea is described that category feature can be received by traditional PCA （principal component analysis） and improved PCA. The example calculating category feature is given in this paper. The analysis shows that the recognition precision will be improved greatly as the unknown target is compared twice by two kinds of category feature.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第1期106-110,共5页
Pattern Recognition and Artificial Intelligence
关键词
主成分分析法
类特征
分类
目标识别
Principal Component Analysis, Category Feature, Classification, Target Recognition
