Automatic fish school classification for acoustic sensing of marine ecosystems - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

Automatic fish school classification for acoustic sensing of marine ecosystems

Résumé

With the human demand for fish and the global warming effects, we know that marine populations are changing. Developing methods for observing and analyzing the spatio-temporal variations of marine ecosystems is then of primary importance. In this context, underwater acoustics remote sensing has a great potential. Operational systems mainly rely on expert interpretation of echograms acquired by sonar echosounders. In this works, we propose new algorithms for the analysis of acoustic survey regarding the inference of species mixing proportion. They rely on the definition and training of probabilistic school classification models from survey data.
Fichier principal
Vignette du fichier
ocean2008_rlefort.pdf (692.35 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02162329 , version 1 (21-06-2019)

Identifiants

  • HAL Id : hal-02162329 , version 1

Citer

Riwal Lefort, Ronan Fablet, Jean-Marc Boucher, Laurent Berger, Sébastien Bourguignon. Automatic fish school classification for acoustic sensing of marine ecosystems. Oceans'08, Sep 2008, Québec, Canada. ⟨hal-02162329⟩
25 Consultations
16 Téléchargements

Partager

Gmail Facebook X LinkedIn More