Automatic seabed classification by the analysis of sidescan sonar and bathymetric imagery
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Networks and Communications
Link
https://digital-library.theiet.org/content/journals/10.1049/ip-rsn_20040279?crawler=true&mimetype=application/pdf
Reference24 articles.
1. Medwin, H., and Clay, C.S.: ‘Fundamentals of acoustical oceanography’, (Academic Press 1998)
2. A methodology for acoustic seafloor classification
3. Use of acoustic classification of sidescan sonar data for mapping benthic habitat in the Northern Channel Islands, California
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1. Seabed sediments classification based on side-scan sonar images with adaptive feature fusion and metric learning;2022 China Automation Congress (CAC);2022-11-25
2. Optimizing the Sediment Classification of Small Side-Scan Sonar Images Based on Deep Learning;IEEE Access;2021
3. Seafloor mapping for geohazard assessment: state of the art;Marine Geophysical Research;2011-03
4. Detection of sub-tidal mussel beds on rocky reefs using acoustics;International Journal of Remote Sensing;2010-12-10
5. Seabed mapping and characterization of sediment variability using the usSEABED data base;Continental Shelf Research;2008-03
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