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

Maxence Ferrari; Marion Poupard; Pascale Giraudet; Ricard Marxer; Jean-Marc Prevot; Thierry Soriano; Hervé Glotin

doi:10.1109/OCEANSE.2019.8867416

Conference papers

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

Maxence Ferrari ^{1, 2} Marion Poupard ² Pascale Giraudet ² Ricard Marxer ² Jean-Marc Prevot Thierry Soriano ³ Hervé Glotin ²

1 LAMFA - Laboratoire Amiénois de Mathématique Fondamentale et Appliquée

2 DYNI - DYNamiques de l’Information

LIS - Laboratoire d'Informatique et Systèmes

3 COSMER - Laboratoire Conception des Systèmes Mécaniques et Robotiques - EA 7398

Document type :

Conference papers

Domain :

Physics [physics] / Mechanics [physics] / Acoustics [physics.class-ph]

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02398121
Contributor : Vincent Hugel <>
Submitted on : Friday, December 6, 2019 - 9:40:55 PM
Last modification on : Thursday, April 16, 2020 - 4:46:12 PM

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

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

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