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Active Acoustic Signature Extraction by Machine Learning Data Analysis for Underwater Fish Counters

Abstract : This paper illustrates our recent advances in terms of supervised classification of different acoustics signatures employed for fish monitoring by the ACOUEAU active ultrasound system. The obtained results are analyzed, both qualitatively and quantitatively, by taking into consideration five target types.
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https://hal.archives-ouvertes.fr/hal-03004372
Contributor : Gabriel Vasile <>
Submitted on : Friday, November 13, 2020 - 4:00:59 PM
Last modification on : Friday, May 21, 2021 - 2:56:39 PM
Long-term archiving on: : Sunday, February 14, 2021 - 7:28:28 PM

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  • HAL Id : hal-03004372, version 1

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Gabriel Vasile, Alexandre Girard, Guy d'Urso, Eric de Oliveira, Franck Hieramente, et al.. Active Acoustic Signature Extraction by Machine Learning Data Analysis for Underwater Fish Counters. OCEANS 2020 - OCEANS '20 MTS/IEEE, Oct 2020, Gulf Coast, United States. ⟨hal-03004372⟩

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