Development of a tree structured hierarchical wavelet representation of synthetic database to NCTR

C. Brousseau
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引用次数: 3

Abstract

In this paper, problem of efficient representation of large database of target radar cross section is investigated in order to minimize memory requirements and recognition search time, using a tree structured hierarchical wavelet representation. Synthetic RCS of large aircrafts, in the HF-VHF bands, are used as experimental data. Hierarchical trees are built using wavelet multiresolution representation and K-means clustering algorithm. Criteria used to define these hierarchical trees are described and the obtained performances are presented.
基于NCTR的合成数据库树状分层小波表示的开发
为了最大限度地减少存储需求和识别搜索时间,本文研究了采用树状分层小波表示方法对大型目标雷达截面数据库进行高效表示的问题。以大型飞机的高频-甚高频波段合成RCS作为实验数据。采用小波多分辨率表示和k均值聚类算法构建层次树。描述了用于定义这些层次树的标准,并给出了所获得的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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