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Communication dans un congrès

Seabed Classification using a steerable Multibeam Eco Sounder

Trung-Kien Nguyen 1, 2 Didier Charlot 2 Jean-Marc Boucher 1 Gilles Le Chenadec 3, 4 Ronan Fablet 5, 1
3 Lab-STICC_ENSTAB_CID_SFIIS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Pôle STIC_OSM
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
5 Lab-STICC_TB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : The new steerable 3D multi-beam echo sounder system SEAPIX offers different operational modes to acquire supplementary information during the acquisition process. In this paper, we focused on 2 modes : the classical MBES mode and the longitudinal mode. The consistency of the data acquired from these two modes was verified through the evaluation of statistical features (mean, standard deviation, Kullback-Liebler divergence). Besides, the longitudinal mode also proposes a new date type : pixel-based data, which offers a complete backscatering profile for each pixel. A comparison of classification performance was perfomed with a sandard Bayesian method. The pixel-based date clearly outperformed the classical mode's data (93.36% vs. 50.65% using a level-based method and 81.5% using a profile-based method.
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https://hal.archives-ouvertes.fr/hal-01444309
Contributeur : Bibliothèque Télécom Bretagne <>
Soumis le : lundi 23 janvier 2017 - 19:33:27
Dernière modification le : mercredi 24 juin 2020 - 16:19:51

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Trung-Kien Nguyen, Didier Charlot, Jean-Marc Boucher, Gilles Le Chenadec, Ronan Fablet. Seabed Classification using a steerable Multibeam Eco Sounder. OCEANS 2016 - Monterey : MTS/IEEE international conference, Sep 2016, Monterey, United States. pp.1 - 4, ⟨10.1109/OCEANS.2016.7761020⟩. ⟨hal-01444309⟩

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