A Deep Learning Approach for Bottom Detection in Multibeam Water-Column Data via Full-Swath Spatial Context
Bottom detection and tracking from multibeam echosounder water-column data constitute a fundamental step to 3D seabed mapping. Traditional methods based on amplitude thresholding and phase detection rely heavily on heuristic assumptions and are prone to failure in the presence of interference in water-column data. To a...