Antarctic Blue Whale Calls Detection Based on an Improved Version of the Stochastic Matched Filter
TypeCommunications avec actes
As a first step to Antarctic Blue Whale monitoring, a new method based on a passive application of the Stochastic Matched Filter (SMF) is developed. To perform Z-call detection in noisy environment, improvements on the classical SMF requirements are proposed. The signal’s reference is adjusted, the background noise estimation is reevaluated to avoid operator’s selection, and the time-dependent Signal to Noise Ratio (SNR) estimation is revised by time-frequency analysis. To highlight the SMF’s robustness against noise, it is applied on a Ocean Bottom Seismometers hydrophone-recorded data and compared to the classical Matched Filter: the output’s SNR is maximized and the false alarm drastically decreased.
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DREO, Richard; BOUFFAUT, Léa; GUILLON, Laurent; LABAT, Valérie; BARRUOL, Guilhem; BOUDRAA, Abdel-Ouahab (2017)While visual survey of whales requires substantial means for limited areas, passive acoustic monitoring (PAM) offers larger scale coverage for long periods and less costs. It usually provides information about species ...
BOUFFAUT, Léa; DRÉO, Richard; LABAT, Valérie; BOUDRAA, Abdel-Ouahab; BARRUOL, Guilhem (Acoustical Society of America (ASA), 2018)As a first step to Antarctic blue whale (ABW) monitoring using passive acoustics, a method based on the stochastic matched filter (SMF) is proposed. Derived from the matched filter (MF), this filter-based denoising method ...
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BOUFFAUT, Léa; DREO, Richard; LABAT, Valérie; BOUDRAA, Abdel-Ouahab (2017)De par sa discrétion, la détection passive est un atout majeur pour la surveillance de zones maritimes, notamment dans le cas de détection de plongeurs intrus dans les zones portuaires. Des outils de traitement du signal ...
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