2023_programme: Inference of seabed characteristics from feature-based inversion analysis of broadband acoustic data

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  • Session: 04. Inverse Problems in Acoustical Oceanography
    Organiser(s): Julien Bonnel and Stan Dosso
  • Lecture: Inference of seabed characteristics from feature-based inversion analysis of broadband acoustic data [invited]
    Paper ID: 1887
    Author(s): Knobles David, Neilsen Tracianne, Hodgkiss William, Lin Ying-Tsong
    Presenter: Knobles David
    Abstract: The concept of feature-based inversion is utilized in the analysis of acoustic data collected on a vertical line array (VLA) on the New England continental shelf and the shelf break. The analysis approach for the measurements is based on seabed interferometry. The acoustic features have the form of peaks and nulls of the measured received levels as a function of frequency as a broadband source passes the closest point of approach of the VLA. The VLA was deployed on both the continental shelf at a water depth of 75 m and at the shelf break at a depth of 200 m. The seabed acoustic models utilized in the analysis include both the depth independent and depth dependent viscous grain shearing (VGS) models. The efficacy of the short-range feature-based inversion results is tested by predicting longer ranged transmission loss.
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  • Corresponding author: Dr David Knobles
    Affiliation: Knobles Scientific and Analysis
    Country: United States
    e-mail:

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