Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Automated detection of hydrothermal emission signatures from Multi-Beam Echo Sounder (MBES) images by deep learning (SCG48-14)(abs.)

Authors=Kazuhide Mimura, Kentaro Nakamura, Kazuhiro Takao, Kazutaka Yasukawa, Yasuhiro Kato

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2022

pages=SCG48-14

Publish_year=2022

Publisher=Japan Geoscience Union

Language_of_Text=EN

ID=300029721

@id=https://gbank.gsj.jp/ld/resource/geolis/300029721