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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

(2012-05-09)

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.

1:	Laboratoire d'informatique Fondamentale de Marseille (LIF)
	CNRS : UMR6166 – Université de la Méditerranée - Aix-Marseille II – Université de Provence - Aix-Marseille I
2:	Interdisciplinary Center for Dynamics of Complex Systems (DYCOS)
	University of Potsdam
3:	Institut Jean Le Rond d'Alembert (IJLRA)
	CNRS : UMR7190 – Université Pierre et Marie Curie [UPMC] - Paris VI
4:	METISS (INRIA - IRISA)
	CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1

Research team (except Inria): Qarma

Domain

:

Computer Science/Signal and Image Processing Engineering Sciences/Signal and Image processing

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From: Valentin Emiya <>

Submitted on: Monday, 4 June 2012 10:55:39

Updated on: Friday, 15 June 2012 16:27:19