Estimation of efficiency of a tree structured hierarchical wavelet representation of synthetic database applied to Non-Cooperative Target Recognition

Author

Brousseau, Christian

Author_Institution

IETR, Univ. de Rennes, Rennes, France

fYear

2010

fDate

Sept. 30 2010-Oct. 1 2010

Firstpage

49

Lastpage

52

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.

Keywords

military radar; radar cross-sections; statistical analysis; target tracking; tree data structures; wavelet transforms; K-means clustering algorithm; RCS; aircraft; hierarchical wavelet representation; non cooperative target recognition; radar cross section; tree structured; wavelet multiresolution representation; Algorithm design and analysis; Clustering algorithms; Databases; Radar cross section; Signal resolution; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (EuRAD), 2010 European

Conference_Location

Paris

Print_ISBN

978-1-4244-7234-5

Type

conf

Filename

5614994