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

Author

Brousseau, Christian

Author_Institution

IETR, Univ. de Rennes 1, Rennes, France

fYear

2010

fDate

10-14 May 2010

Firstpage

368

Lastpage

373

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

airborne radar; pattern clustering; radar cross-sections; radar target recognition; trees (mathematics); very large databases; wavelet transforms; HF-VHF bands; K-means clustering algorithm; NCTR; hierarchical trees; large database; memory requirements; recognition search time; synthetic RCS; synthetic database; target radar cross section; tree structured hierarchical wavelet representation; wavelet multiresolution representation; Aircraft manufacture; Clustering algorithms; Computational modeling; Databases; Frequency; Polarization; Radar cross section; Target recognition; Testing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2010 IEEE

Conference_Location

Washington, DC

ISSN

1097-5659

Print_ISBN

978-1-4244-5811-0

Type

conf

DOI

10.1109/RADAR.2010.5494593

Filename

5494593