Article details

Title: Development of Multiresolution Hierarchical Trees to Non-Cooperative Target Recognition
Author(s): Christian Brousseau               

Abstract: In this paper, the problem of efficient representation of large databases of target radar cross sections 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. The criteria used to define these hierarchical trees are described and the obtained performances are presented.

Keywords: radar, target recognition, multiresolution, wavelet, clustering, hierarchical tree.


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