Exploring Seafloor Stretching In Mariana Trench Arc Via The Squeeze And Excitation Network With High-Resolution Multibeam Bathymetric Survey

Multibeam bathymetry data could represent nearly continuous coverage depth measurements of the seafloor and reveal geomorphological regions. Recent studies have utilized multibeam bathymetry data to provide geological maps, but their delineations were done manually. Manual classification and delineation are inherently subjective and therefore can be inaccurate. In this paper, we try to develop one strategy to explore seafloor stretching in Mariana trench arc via squeeze and excitation network, combining data clustering, slope and gradient. In our experiments, we use the high-resolution multibeam bathymetric data collected by NOAA Office of Ocean Exploration and Research (OER). The geomorphological seabed in the Mariana region is automatically classified into different classes. The experimental results demonstrate that geomorphological seabed classification strategy achieves a robust, automated delineation approach.