Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle

International audience Passive underwater acoustics allows for the monitoring of the echolocation clicks of cetaceans. Static hydrophone arrays monitor from a fixed location, however, they cannot track animals over long distances. More flexibility can be achieved by mounting hydrophones on a mobile...

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Main Authors: Ferrari, Maxence, Poupard, Marion, Giraudet, Pascale, Marxer, Ricard, Prévot, Jean-Marc, Soriano, Thierry, Glotin, Hervé
Other Authors: Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), DYNamiques de l’Information (DYNI), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), University of Sheffield Sheffield, Laboratoire QUARTZ (QUARTZ ), Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI), Université de Toulon (UTLN), PNRIA
Format: Conference Object
Language:English
Published: HAL CCSD 2019
Subjects:
ASV
Online Access:https://hal.archives-ouvertes.fr/hal-02313922
https://hal.archives-ouvertes.fr/hal-02313922/document
https://hal.archives-ouvertes.fr/hal-02313922/file/Sphyrna_OCEAN.pdf
id ftunivparis8:oai:HAL:hal-02313922v1
record_format openpolar
spelling ftunivparis8:oai:HAL:hal-02313922v1 2023-05-15T17:59:26+02:00 Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle Ferrari, Maxence Poupard, Marion Giraudet, Pascale Marxer, Ricard Prévot, Jean-Marc Soriano, Thierry Glotin, Hervé Laboratoire d'Informatique et Systèmes (LIS) Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) DYNamiques de l’Information (DYNI) Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) Laboratoire des Sciences de l'Information et des Systèmes (LSIS) Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS) University of Sheffield Sheffield Laboratoire QUARTZ (QUARTZ ) Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI) Université de Toulon (UTLN) PNRIA Marseille, France 2019-06-17 https://hal.archives-ouvertes.fr/hal-02313922 https://hal.archives-ouvertes.fr/hal-02313922/document https://hal.archives-ouvertes.fr/hal-02313922/file/Sphyrna_OCEAN.pdf en eng HAL CCSD hal-02313922 https://hal.archives-ouvertes.fr/hal-02313922 https://hal.archives-ouvertes.fr/hal-02313922/document https://hal.archives-ouvertes.fr/hal-02313922/file/Sphyrna_OCEAN.pdf info:eu-repo/semantics/OpenAccess OCEANS 2019 https://hal.archives-ouvertes.fr/hal-02313922 OCEANS 2019, Jun 2019, Marseille, France Clustering DBSCAN Weak Signal Detection Transient Analysis Tortuosity Sperm Whale Physeter macrocephalus Autonomous Laboratory Vehicle Drone ASV Passive Acoustic Monitoring Cetacean Survey Abyss Monitoring 3D Tracking Long Term Survey Biosonar High Sampling Rate [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SDV.BA]Life Sciences [q-bio]/Animal biology info:eu-repo/semantics/conferenceObject Conference papers 2019 ftunivparis8 2022-07-19T22:35:57Z International audience Passive underwater acoustics allows for the monitoring of the echolocation clicks of cetaceans. Static hydrophone arrays monitor from a fixed location, however, they cannot track animals over long distances. More flexibility can be achieved by mounting hydrophones on a mobile structure. In this paper, we present the design of a small non-uniform array of five hydrophones mounted directly under the Autonomous Surface Vehicle (ASV) Sphyrna (also called an Autonomous Laboratory Vehicle) built by SeaProven in France. This configuration is made challenging by the 40cm aperture of the hydrophone array, extending only two meters below the surface and above the thermocline, thus presenting various artifacts. The array, fixed under the keel of the drone, is numerically stabilized in yaw and roll using the drone's Motion Processing Unit (MPU). To increase the accuracy of the 3D tracking computed from a four hour recording of a Sperm Whale diving several kilometers away, we propose an efficient joint filtering of the clicks in the Time Delay of Arrival (TDoA) space. We show how the DBSCAN algorithm efficiently removes any outlier detection among the thousands of transients, and yields to coherent high definition 3D tracks. Conference Object Physeter macrocephalus Sperm whale Université Paris 8 Vincennes-Saint-Denis: HAL
institution Open Polar
collection Université Paris 8 Vincennes-Saint-Denis: HAL
op_collection_id ftunivparis8
language English
topic Clustering
DBSCAN
Weak Signal Detection
Transient Analysis
Tortuosity
Sperm Whale
Physeter macrocephalus
Autonomous Laboratory Vehicle
Drone
ASV
Passive Acoustic Monitoring
Cetacean Survey
Abyss Monitoring
3D Tracking
Long Term Survey
Biosonar
High Sampling Rate
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[SDV.BA]Life Sciences [q-bio]/Animal biology
spellingShingle Clustering
DBSCAN
Weak Signal Detection
Transient Analysis
Tortuosity
Sperm Whale
Physeter macrocephalus
Autonomous Laboratory Vehicle
Drone
ASV
Passive Acoustic Monitoring
Cetacean Survey
Abyss Monitoring
3D Tracking
Long Term Survey
Biosonar
High Sampling Rate
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[SDV.BA]Life Sciences [q-bio]/Animal biology
Ferrari, Maxence
Poupard, Marion
Giraudet, Pascale
Marxer, Ricard
Prévot, Jean-Marc
Soriano, Thierry
Glotin, Hervé
Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
topic_facet Clustering
DBSCAN
Weak Signal Detection
Transient Analysis
Tortuosity
Sperm Whale
Physeter macrocephalus
Autonomous Laboratory Vehicle
Drone
ASV
Passive Acoustic Monitoring
Cetacean Survey
Abyss Monitoring
3D Tracking
Long Term Survey
Biosonar
High Sampling Rate
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[SDV.BA]Life Sciences [q-bio]/Animal biology
description International audience Passive underwater acoustics allows for the monitoring of the echolocation clicks of cetaceans. Static hydrophone arrays monitor from a fixed location, however, they cannot track animals over long distances. More flexibility can be achieved by mounting hydrophones on a mobile structure. In this paper, we present the design of a small non-uniform array of five hydrophones mounted directly under the Autonomous Surface Vehicle (ASV) Sphyrna (also called an Autonomous Laboratory Vehicle) built by SeaProven in France. This configuration is made challenging by the 40cm aperture of the hydrophone array, extending only two meters below the surface and above the thermocline, thus presenting various artifacts. The array, fixed under the keel of the drone, is numerically stabilized in yaw and roll using the drone's Motion Processing Unit (MPU). To increase the accuracy of the 3D tracking computed from a four hour recording of a Sperm Whale diving several kilometers away, we propose an efficient joint filtering of the clicks in the Time Delay of Arrival (TDoA) space. We show how the DBSCAN algorithm efficiently removes any outlier detection among the thousands of transients, and yields to coherent high definition 3D tracks.
author2 Laboratoire d'Informatique et Systèmes (LIS)
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
DYNamiques de l’Information (DYNI)
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire des Sciences de l'Information et des Systèmes (LSIS)
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS)
University of Sheffield Sheffield
Laboratoire QUARTZ (QUARTZ )
Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI)
Université de Toulon (UTLN)
PNRIA
format Conference Object
author Ferrari, Maxence
Poupard, Marion
Giraudet, Pascale
Marxer, Ricard
Prévot, Jean-Marc
Soriano, Thierry
Glotin, Hervé
author_facet Ferrari, Maxence
Poupard, Marion
Giraudet, Pascale
Marxer, Ricard
Prévot, Jean-Marc
Soriano, Thierry
Glotin, Hervé
author_sort Ferrari, Maxence
title Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
title_short Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
title_full Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
title_fullStr Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
title_full_unstemmed Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
title_sort efficient artifacts filter by density-based clustering in long term 3d whale passive acoustic monitoring with five hydrophones fixed under an autonomous surface vehicle
publisher HAL CCSD
publishDate 2019
url https://hal.archives-ouvertes.fr/hal-02313922
https://hal.archives-ouvertes.fr/hal-02313922/document
https://hal.archives-ouvertes.fr/hal-02313922/file/Sphyrna_OCEAN.pdf
op_coverage Marseille, France
genre Physeter macrocephalus
Sperm whale
genre_facet Physeter macrocephalus
Sperm whale
op_source OCEANS 2019
https://hal.archives-ouvertes.fr/hal-02313922
OCEANS 2019, Jun 2019, Marseille, France
op_relation hal-02313922
https://hal.archives-ouvertes.fr/hal-02313922
https://hal.archives-ouvertes.fr/hal-02313922/document
https://hal.archives-ouvertes.fr/hal-02313922/file/Sphyrna_OCEAN.pdf
op_rights info:eu-repo/semantics/OpenAccess
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