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Communication dans un congrès

Segmentation of Radar images by combining watershed and Fisher techniques for target classification

Bannour Belkhaoui 1 Abdelmalek Toumi 2 A. Khalfallah 3 Ali Khenchaf 4 M.S. Bouhlel 3
1 Lab-STICC_ENSTAB_MOM_PIM ; REMS
SETIT - Sciences and Technologies of Image and Telecommunications, STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_ENSTAB_CID_TOMS ; REMS
STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Lab-STICC_ENSTAB_MOM_PIM ; REMS
STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Abstract--In the area of monitoring and observation by sea, land or air by the use of information is an important task for the decision. We are interested in the present work on the information processing for the recognition of radar targets from ISAR images. To provide the information necessary for the recognition phase, we propose an approach radar image processing based on the combination algorithms Fisher and watershed. This combination allows us to obtain closed shapes (edge). Then, we proceed to a shape modeling based on the Fourier descriptor. Finally, we use the KNN classifier to evaluate the performance of our approach. The obtained results seem good.
Type de document :
Communication dans un congrès
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https://hal.archives-ouvertes.fr/hal-00843331
Contributeur : Annick Billon-Coat <>
Soumis le : jeudi 11 juillet 2013 - 10:29:13
Dernière modification le : mercredi 24 juin 2020 - 16:19:29

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  • HAL Id : hal-00843331, version 1

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Bannour Belkhaoui, Abdelmalek Toumi, A. Khalfallah, Ali Khenchaf, M.S. Bouhlel. Segmentation of Radar images by combining watershed and Fisher techniques for target classification. CODIT'2013, May 2013, Hammamet, Tunisia. ⟨hal-00843331⟩

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