Title :
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
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;
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-5811-0
DOI :
10.1109/RADAR.2010.5494593
