Radar target feature extraction by wavelet transform and KCN

被引：0
|
作者：
Wang, XD [1 ]
Wang, JQ [1 ]
机构：
[1] Air Force Engn Univ, Missile Inst, SanYuan 713800, ShaanXi, Peoples R China
来源：
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Feature extraction of radar target recognition using high range resolution profiles has been discussed in this paper. A feature extraction scheme by using wavelet transform and Kohonen clustering network (KCN) has been proposed from the points of reducing feature dimension and feature numbers to represent a target. To compare the performance of different feature extraction methods, Fisher distance measure has been introduced which reveal the within-class compactness and the between-class separation. Experiment results give the effectiveness of this method.
引用
收藏
页码：640 / 644
页数：5
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