Abstract
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.
Recommended Citation
S. Liu et al., "Exploring Seafloor Stretching in Mariana Trench Arc Via the Squeeze and Excitation Network with High-Resolution Multibeam Bathymetric Survey," OCEANS 2019 - Marseille, OCEANS Marseille 2019, article no. 8867254, Institute of Electrical and Electronics Engineers, Jun 2019.
The definitive version is available at https://doi.org/10.1109/OCEANSE.2019.8867254
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Classification; Convolutional Neural Networks; Geomorphological Seabed; Multibeam Bathymetry
International Standard Book Number (ISBN)
978-172811450-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jun 2019
Comments
National Natural Science Foundation of China, Grant 2014AA093410