Title :
Development of multiresolution hierarchical trees to non-cooperative target recognition
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; aircraft; radar cross-sections; radar target recognition; HF-VHF bands; K-means clustering algorithm; aircrafts; database efficient representation problem; memory requirements; multiresolution hierarchical trees development; noncooperative target recognition; recognition search time; synthetic RCS; target radar cross section; tree structured hierarchical wavelet representation; wavelet multiresolution representation; Algorithm design and analysis; Approximation methods; Clustering algorithms; Databases; Radar; Signal resolution; Signal to noise ratio; clustering; radar; target recognition; wavelet;
Conference_Titel :
Communications (COMM), 2012 9th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4577-0057-6
DOI :
10.1109/ICComm.2012.6262599
