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Conference papers

Target Recognition using IFFT and MUSIC ISAR images

Abdelmalek Toumi 1, 2 Ali Khenchaf 3, 1
1 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
2 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_MOM_PIM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01653367
Contributor : Annick Billon-Coat <>
Submitted on : Friday, December 1, 2017 - 1:32:16 PM
Last modification on : Monday, April 19, 2021 - 4:56:02 PM

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  • HAL Id : hal-01653367, version 1

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

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