[en] In this paper, we describe a new automatic
target recognition method for classifying targets according
to their bistatic backscattering coefficients. The classification
model is based on the construction of subspaces, one per
target class. Results show an overall correct classification rate
of about 83%, indicating that our method seems to be valid.
Further improvements of the algorithm are also discussed.
Research Center/Unit :
INTELSIG SONDRA, SUPELEC
Disciplines :
Electrical & electronics engineering
Author, co-author :
Pisane, Jonathan ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Lesturgie, Marc; SUPELEC > SONDRA > Directeur
Verly, Jacques ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Exploitation des signaux et images
Language :
English
Title :
Passive target classification based on low-frequency bistatic backscattering coefficients
Publication date :
June 2010
Event name :
Passive 2010
Event place :
Brest, France
Event date :
June 2010
Audience :
International
Funders :
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture
