Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle
Autor: | Pascale Giraudet, Thierry Soriano, Hervé Glotin, Jean-Marc Prevot, Marion Poupard, Ricard Marxer, Maxence Ferrari |
---|---|
Přispěvatelé: | 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)-SUPMECA - Institut supérieur de mécanique de Paris-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI), Université de Toulon (UTLN), 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)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), 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), PNRIA, Laboratoire Amiénois de Mathématique Fondamentale et Appliquée - UMR CNRS 7352 (LAMFA), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Conception des Systèmes Mécaniques et Robotiques - EA 7398 (COSMER) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
DBSCAN
Computer science Aperture Autonomous Laboratory Vehicle Acoustics Cetacean Survey Weak Signal Detection Tortuosity Passive Acoustic Monitoring 01 natural sciences Clustering Physeter macrocephalus [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing 0103 physical sciences 3D Tracking 14. Life underwater Cluster analysis 010301 acoustics ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Transient Analysis ASV Hydrophone Sperm Whale 010505 oceanography [SDV.BA]Life Sciences [q-bio]/Animal biology Detector Filter (signal processing) Multilateration Drone [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] Abyss Monitoring High Sampling Rate Biosonar Underwater acoustics Long Term Survey |
Zdroj: | OCEANS 2019 OCEANS 2019, Jun 2019, Marseille, France OCEANS 2019-Marseille OCEANS 2019-Marseille, Jun 2019, Marseille, France. pp.39, ⟨10.1109/OCEANSE.2019.8867416⟩ HAL OCEANS 2019, Jun 2019, Marseille, France. pp.39, ⟨10.1109/OCEANSE.2019.8867416⟩ |
DOI: | 10.1109/OCEANSE.2019.8867416⟩ |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |