2025_programme: Improving Fish School Detection Using Phase Information in Continuous-Wave Underwater Acoustic Signals: A Study Based on Cylindrical Sonar Data



  • Day: June 16, Monday
      Location / Time: C. THALIA at 17:20-17:40
  • Last minutes changes: -
  • Session: 10. New frontiers in fisheries acoustics: applications, analysis, decision and management tools
    Organiser(s): Victor Espinosa
    Chairperson(s): Victor Espinosa
  • Lecture: Improving Fish School Detection Using Phase Information in Continuous-Wave Underwater Acoustic Signals: A Study Based on Cylindrical Sonar Data
    Paper ID: 2325
    Author(s): Yohann Gourret, Karl Thomas Hjelmervik, Tommi Brander, Hector Pena, Henrik Berg, Bjarte Berntsen
    Presenter: Yohann Gourret
    Abstract: This paper presents a novel approach to improving fish school detection using underwater acoustics, particularly through the integration of both amplitude and phase information obtained from a cylindrical sonar survey employing Continuous-Wave (CW) pulses. The primary objective is to demonstrate that utilizing phase data can lead to more accurate classifications, with an emphasis on detecting potential back lobes.\nThe proposed methodology involves employing Convolutional Neural Networks (CNNs) to analyze the collected sonar data and differentiate between fish schools and non-fish signals. The study highlights that considering phase information alongside amplitude data can significantly increase detection performance, particularly in instances where back lobes may occur.\nTo validate the effectiveness of the proposed method, experimental results are presented, which show a noticeable improvement in Receiver Operating Characteristic (ROC) curves when using both intensity and phase information as opposed to solely relying on amplitude data. This study underscores the importance of incorporating phase information into underwater acoustic analysis for improved fish school detection accuracy, particularly in CW-based applications.
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  • Corresponding author: Mr Yohann Gourret
    Affiliation: University of South-Eastern Norway
    Country: Norway