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Estimation of efficiency of a tree structured hierarchical wavelet representation of synthetic database applied to non-cooperative target recognition

Published online by Cambridge University Press:  18 May 2011

Christian Brousseau
Christian Brousseau*
Affiliation:
IETR, Université de Rennes 1, Campus de Beaulieu, 35042 Rennes Cedex, France. Phone: +33 2 2323 6231
*
Corresponding author: C. BrousseauEmail:christian.brousseau@univ-rennes1.fr
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Abstract

In this paper, problem of efficient representation of large database of target radar cross section (RCS) 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 High Frequency (HF)–Very High Frequency (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

Radar signal processing and system modelingRadar applications
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 3 , Issue 4 , August 2011 , pp. 423 - 430
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2011

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References

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