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Underwater acoustic imaging: sparse models and implementation issues

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.
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Contributor : Valentin Emiya Connect in order to contact the contributor
Submitted on : Monday, June 4, 2012 - 10:55:39 AM
Last modification on : Thursday, January 20, 2022 - 5:28:34 PM
Long-term archiving on: : Wednesday, September 5, 2012 - 2:16:08 AM


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  • HAL Id : hal-00677287, version 1


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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