Underwater acoustic imaging: sparse models and implementation issues

Valentin Emiya 1 Nikolaos Stefanakis 2 Jacques Marchal 3 Nancy Bertin 4 Rémi Gribonval 4 Pierre Cervenka 3
1 QARMA - éQuipe AppRentissage et MultimediA [Marseille]
LIF - Laboratoire d'informatique Fondamentale de Marseille
2 DYCOS - Interdisciplinary Center for Dynamics of Complex Systems
3 DALEMBERT - Institut Jean Le Rond d'Alembert
4 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We present recent work on sparse models for underwater acoustic imaging and on implementation of imaging methods with real data. By considering physical issues like non-isotropic scattering and non-optimal calibration, we have designed several structured sparse models. Greedy algorithms are used to estimate the sparse representations. Our work includes the design of real experiments in a tank. Several series of data have been collected and processed. For such a realistic scenario, data and representations live in high-dimensional spaces. We introduce algorithmic adaptations to deal with the resulting computational issues. The imaging results obtained by our methods are finally compared to standard beamforming imaging.
Type de document :
Document associé à des manifestations scientifiques
International Travelling Workshop for Interacting Sparse Models and Technology, May 2012, Marseille, France. 2012
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https://hal.inria.fr/hal-00677287
Contributeur : Valentin Emiya <>
Soumis le : lundi 4 juin 2012 - 10:55:39
Dernière modification le : mercredi 16 mai 2018 - 11:23:03
Document(s) archivé(s) le : mercredi 5 septembre 2012 - 02:16:08

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  • HAL Id : hal-00677287, version 1

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Valentin Emiya, Nikolaos Stefanakis, Jacques Marchal, Nancy Bertin, Rémi Gribonval, et al.. Underwater acoustic imaging: sparse models and implementation issues. International Travelling Workshop for Interacting Sparse Models and Technology, May 2012, Marseille, France. 2012. 〈hal-00677287〉

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