Enhancing the Coverage of Underwater Robot Based Mn-crust Survey Area by Using a Multibeam Sonar

Author:

Neettiyath Umesh1,Sangekar Mehul2,Nagano Kazunori1,Koike Tetsu1,Thornton Blair3,Sugimatsu Harumi1,Hino Hikari4,Suzuki Akiko4

Affiliation:

1. The University of Tokyo,Institute of Industrial Science,Komaba,Japan,153-8505

2. Japan Agency for Marine-Earth Science and Technology,X-STAR,Yokosuka,Japan

3. University of Southampton,Southampton Marine and Maritime Institute,Southampton,SO16 7QF,UK

4. Japan Organization for Metals and Energy Security,Toranomon,Japan,105-0001

Publisher

IEEE

Reference21 articles.

1. Automated Stone Detection on Side-Scan Sonar Mosaics Using Haar-Like Features

2. Deep-Sea Robotic Survey and Data Processing Methods for Regional-Scale Estimation of Manganese Crust Distribution

3. Quantification of the fine-scale distribution of Mn-nodules: insights from AUV multi-beam and optical imagery data fusion;alevizos;Biogeosciences Discussions,2018

4. Geostatistical modelling of multibeam backscatter for full- coverage seabed sediment maps;dijk;Hydrobiologia,2019

5. Identification of manganese crusts in 3D visual reconstructions to filter geo-registered acoustic sub-surface measurements

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1. A Dual CNN Method for Speed Sensing of Sonar Robots;2023 International Conference on Intelligent Communication and Networking (ICN);2023-11-10

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