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Seabed classification using physics-based modeling and machine learning
2020
Journal of the Acoustical Society of America
In this work, model-based methods are employed, along with machine learning techniques, to classify sediments in oceanic environments based on the geoacoustic properties of a two-layer seabed. Two different scenarios are investigated. First, a simple low-frequency case is set up, in which the acoustic field is modeled with normal modes. Four different hypotheses are made for seafloor sediment possibilities, and these are explored using both various machine learning techniques and a simple
doi:10.1121/10.0001728
pmid:32873029
fatcat:nox5swr5izbhthfpomiecfkbem