Target Recognition using IFFT and MUSIC ISAR images - ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Target Recognition using IFFT and MUSIC ISAR images

Ali Khenchaf

Résumé

We present in this paper an approach to achieve the aircraft target recognition task using Inverse Synthetic Aperture Radar (ISAR) images reconstructed using IFFT (Inverse Fast Furrier Transform) and MUSIC2D (multiple signal characterization) methods. The first goal of this work is to propose efficient features for target recognition using a polar mapping procedure, to make a polar signature, with well-designed classifier. The second goal of this work is to compare the recognition rate using the both reconstruction methods. Finally, the obtained results are given and compared for the two types ISAR images in order to validate our proposed feature vectors and retrieval scheme.
Fichier non déposé

Dates et versions

hal-01653367 , version 1 (01-12-2017)

Identifiants

  • HAL Id : hal-01653367 , version 1

Citer

Abdelmalek Toumi, Ali Khenchaf. Target Recognition using IFFT and MUSIC ISAR images. ATSIP 2016, Mar 2016, Monastir, Tunisia. ⟨hal-01653367⟩
94 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More