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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

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 - UMR CNRS 7352
2 DYNI - DYNamiques de l’Information
LIS - Laboratoire d'Informatique et Systèmes
3 COSMER - Laboratoire Conception des Systèmes Mécaniques et Robotiques - EA 7398
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02398121
Contributor : Vincent HUGEL Connect in order to contact the contributor
Submitted on : Friday, December 6, 2019 - 9:40:55 PM
Last modification on : Friday, August 5, 2022 - 11:23:13 AM

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UNIV-TLN | CNRS | UNIV-AMU | COSMER | LIS-LAB | U-PICARDIE | LAMFA

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Maxence Ferrari, Marion Poupard, Pascale Giraudet, Ricard Marxer, Jean-Marc Prevot, et al.. Efficient artifacts filter by density-based clustering in long term 3D whale passive acoustic monitoring with five hydrophones fixed under an Autonomous Surface Vehicle. OCEANS 2019 - Marseille, Jun 2019, Marseille, France. pp.39, ⟨10.1109/OCEANSE.2019.8867416⟩. ⟨hal-02398121⟩

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