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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.
https://hal.inria.fr/hal-00677287
Contributor : Valentin Emiya <>
Submitted on : Monday, June 4, 2012 - 10:55:39 AM
Last modification on : Friday, January 8, 2021 - 3:41:06 AM
Long-term archiving on: : Wednesday, September 5, 2012 - 2:16:08 AM
Contributor : Valentin Emiya <>
Submitted on : Monday, June 4, 2012 - 10:55:39 AM
Last modification on : Friday, January 8, 2021 - 3:41:06 AM
Long-term archiving on: : Wednesday, September 5, 2012 - 2:16:08 AM
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itwist_emiya_talk.pdf
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