Underwater Acoustics Research

Underwater acoustics researchers use sound to see through ocean water in ways that light cannot, building detailed maps of the seafloor through techniques like multibeam sonar and geoacoustic inversion that reveal the shape, composition, and biological character of the seabed. Because direct observation of the deep ocean remains logistically costly and spatially limited, acoustic signals carry much of the practical burden for classifying benthic habitats, estimating sediment properties, and tracking how seafloor environments change over time. Machine learning has recently accelerated the interpretation of dense bathymetry datasets, making it possible to move from raw sonar returns to meaningful habitat classifications at scales that were previously out of reach. Open questions remain around how well acoustic proxies actually capture biological diversity, how models trained in one region transfer to another, and how geoacoustic inversion can be refined to reduce the ambiguity between competing sediment models.

Works

99,041

Total citations

550,925

Keywords

Seafloor MappingAcoustic TechniquesHabitat ClassificationBathymetry DataMultibeam SonarMachine Learning