Remote blue whale call detection using a passive version of the stochastic matched filter paper
International audience is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle ID More than 30 years after the institution of...
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Language: | English |
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HAL CCSD
2017
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Online Access: | https://hal.science/hal-02140824 https://hal.science/hal-02140824/document https://hal.science/hal-02140824/file/IRENAV_UACE_2017_BOUFFAUT.pdf |
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ftunivnantes:oai:HAL:hal-02140824v1 |
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openpolar |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Call detection Stochastic Matched Filter Antarctic Blue Whale monitoring [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
spellingShingle |
Call detection Stochastic Matched Filter Antarctic Blue Whale monitoring [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Bouffaut, Léa Dreo, Richard Labat, Valérie Boudraa, Abdel Barruol, Guilhem Remote blue whale call detection using a passive version of the stochastic matched filter paper |
topic_facet |
Call detection Stochastic Matched Filter Antarctic Blue Whale monitoring [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
description |
International audience is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle ID More than 30 years after the institution of the moratorium on commercial whaling by the International Whaling Commission, one of the biggest challenges in whale monitoring, e.g. Antarctic Blue Whales (ABW), is assessing populations to evaluate their recovery from persecution by mankind. To do this, passive acoustic monitoring is widely used all around the globe focusing on call detection of vocalizing whales. It has been demonstrated that ultra low frequency Ocean Bottom Seismometer hydrophones (OBSh) provide high quality data for whale monitoring, especially because of their large covering areas. Due to high energy seismic noise, previously developed autonomous methods based on signal cross-correlation are not suitable for this kind of approach. As a first step to ABW monitoring, a new method is used, based on a passive application of the Stochastic Matched Filter (SMF). This is an extension of the matched filter for degraded signals in colored noise. The SMF has been adjusted to perform ABW Z-call detection in noisy environments (seismic broadband noise, boat direct tonal spectrum, other whale calls…).In addition, its properties allow degraded calls (frequency dependent attenuation, multipath distortion) to be detected, covering large ranges. This new method is applied on a representative dataset -in terms of noise environment and signal variety- recorded by an OBSh in the [0-50]Hz frequency band, deployed at 4000 m depth on a mid-ocean ridge in the South West Indian ocean (RHUM-RUM project). The SMF’s robustness against noise is compared to the classical Matched Filter: the output’s SNR is maximized and the false alarm drastically decreases. It can then be arranged to provide call time of arrival as an input to a localization algorithm, even for remote ... |
author2 |
Institut de Recherche de l'Ecole Navale (IRENAV) Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) Laboratoire GéoSciences Réunion (LGSR) Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris) Institut de Physique du Globe de Paris (IPGP) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS) |
format |
Conference Object |
author |
Bouffaut, Léa Dreo, Richard Labat, Valérie Boudraa, Abdel Barruol, Guilhem |
author_facet |
Bouffaut, Léa Dreo, Richard Labat, Valérie Boudraa, Abdel Barruol, Guilhem |
author_sort |
Bouffaut, Léa |
title |
Remote blue whale call detection using a passive version of the stochastic matched filter paper |
title_short |
Remote blue whale call detection using a passive version of the stochastic matched filter paper |
title_full |
Remote blue whale call detection using a passive version of the stochastic matched filter paper |
title_fullStr |
Remote blue whale call detection using a passive version of the stochastic matched filter paper |
title_full_unstemmed |
Remote blue whale call detection using a passive version of the stochastic matched filter paper |
title_sort |
remote blue whale call detection using a passive version of the stochastic matched filter paper |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.science/hal-02140824 https://hal.science/hal-02140824/document https://hal.science/hal-02140824/file/IRENAV_UACE_2017_BOUFFAUT.pdf |
op_coverage |
Skiatos Island, Greece |
geographic |
Antarctic Indian |
geographic_facet |
Antarctic Indian |
genre |
Antarc* Antarctic Blue whale |
genre_facet |
Antarc* Antarctic Blue whale |
op_source |
UACE2017 - 4th Underwater Acoustics Conference and Exhibition https://hal.science/hal-02140824 UACE2017 - 4th Underwater Acoustics Conference and Exhibition, 2017, Skiatos Island, Greece. pp.93-98 |
op_relation |
hal-02140824 https://hal.science/hal-02140824 https://hal.science/hal-02140824/document https://hal.science/hal-02140824/file/IRENAV_UACE_2017_BOUFFAUT.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1766016562252218368 |
spelling |
ftunivnantes:oai:HAL:hal-02140824v1 2023-05-15T13:31:11+02:00 Remote blue whale call detection using a passive version of the stochastic matched filter paper Bouffaut, Léa Dreo, Richard Labat, Valérie Boudraa, Abdel Barruol, Guilhem Institut de Recherche de l'Ecole Navale (IRENAV) Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) Laboratoire GéoSciences Réunion (LGSR) Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris) Institut de Physique du Globe de Paris (IPGP) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS) Skiatos Island, Greece 2017 https://hal.science/hal-02140824 https://hal.science/hal-02140824/document https://hal.science/hal-02140824/file/IRENAV_UACE_2017_BOUFFAUT.pdf en eng HAL CCSD hal-02140824 https://hal.science/hal-02140824 https://hal.science/hal-02140824/document https://hal.science/hal-02140824/file/IRENAV_UACE_2017_BOUFFAUT.pdf info:eu-repo/semantics/OpenAccess UACE2017 - 4th Underwater Acoustics Conference and Exhibition https://hal.science/hal-02140824 UACE2017 - 4th Underwater Acoustics Conference and Exhibition, 2017, Skiatos Island, Greece. pp.93-98 Call detection Stochastic Matched Filter Antarctic Blue Whale monitoring [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing info:eu-repo/semantics/conferenceObject Conference papers 2017 ftunivnantes 2023-03-08T05:30:10Z International audience is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle ID More than 30 years after the institution of the moratorium on commercial whaling by the International Whaling Commission, one of the biggest challenges in whale monitoring, e.g. Antarctic Blue Whales (ABW), is assessing populations to evaluate their recovery from persecution by mankind. To do this, passive acoustic monitoring is widely used all around the globe focusing on call detection of vocalizing whales. It has been demonstrated that ultra low frequency Ocean Bottom Seismometer hydrophones (OBSh) provide high quality data for whale monitoring, especially because of their large covering areas. Due to high energy seismic noise, previously developed autonomous methods based on signal cross-correlation are not suitable for this kind of approach. As a first step to ABW monitoring, a new method is used, based on a passive application of the Stochastic Matched Filter (SMF). This is an extension of the matched filter for degraded signals in colored noise. The SMF has been adjusted to perform ABW Z-call detection in noisy environments (seismic broadband noise, boat direct tonal spectrum, other whale calls…).In addition, its properties allow degraded calls (frequency dependent attenuation, multipath distortion) to be detected, covering large ranges. This new method is applied on a representative dataset -in terms of noise environment and signal variety- recorded by an OBSh in the [0-50]Hz frequency band, deployed at 4000 m depth on a mid-ocean ridge in the South West Indian ocean (RHUM-RUM project). The SMF’s robustness against noise is compared to the classical Matched Filter: the output’s SNR is maximized and the false alarm drastically decreases. It can then be arranged to provide call time of arrival as an input to a localization algorithm, even for remote ... Conference Object Antarc* Antarctic Blue whale Université de Nantes: HAL-UNIV-NANTES Antarctic Indian |