Development of multiresolution hierarchical trees to non-cooperative target recognition

Christian Brousseau (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique

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.

Domaines: Electromagnétisme; Electronique; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Christian Brousseau. Development of multiresolution hierarchical trees to non-cooperative target recognition. MTA Review / Military Technical Academy Review, 2012, XXII (2), pp.1. ⟨hal-00776444⟩