Efficient classification of ISAR images

被引：0
|
作者：
Kim, KT [1 ]
机构：
[1] Yeungnam Univ, Sch Elect & Comp Engn, Kyongsan 712749, South Korea
来源：
PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING | 2004年
关键词：
ISAR; target classification; radar; feature extraction;
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：
In this paper, we propose a method to classify inverse synthetic aperture radar (ISAR) images from different targets. Our approach can provide efficient features for classification by the combined use of a polar mapping procedure and a well-designed classifier. The resulting feature vectors are able to meet the requirements that efficient features should have: invariance with respect to rotation and scale, small dimensionality, as well as highly discriminative information. Typical experimental examples of the proposed method are provided and discussed.
引用
收藏
页码：424 / 429
页数：6
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