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

Development of an efficient method of outcrop survey using image analysis and machine learning technology (poster session)(abs.)

Authors=Rina Noguchi, Junichi Haruyama, Nobuo Geshi, Daigo Shoji, Keiichiro Fujimoto

Journal/Book_names=Programme and Abstracts, the Volcanological Society of Japan (online)

volume=2022

pages=106-106

Publish_year=2022

Publisher=The Volcanological Society of Japan

Language_of_Text=JA

ISSN=21897190

DOI=10.18940/vsj.2022.0_106

ID=300033544

@id=https://gbank.gsj.jp/ld/resource/geolis/300033544