Linked Data Service of GSJ
Geological Literature
Uncertainty evaluation and proposals for performance improvement methodologies in image generation of landslide mass by deep learning models
Yutaro TAKEUCHI, Yoshiyuki YAMAMOTO, Hirokazu FURUKI, Shinji UTSUKI, Kazuya YOSHIDA, Yoshio NAKAMURA
itemdescription
TitleUncertainty evaluation and proposals for performance improvement methodologies in image generation of landslide mass by deep learning models
AuthorsYutaro TAKEUCHI, Yoshiyuki YAMAMOTO, Hirokazu FURUKI, Shinji UTSUKI, Kazuya YOSHIDA, Yoshio NAKAMURA
Data nameJournal of the Japan Society of Photogrammetry and Remote Sensing
Volume61
Num6
Page368-386
Year2023
PublisherJapan Society of Photogrammetry and Remote Sensing
LanguageJA
Abstract languageEN
ISSN02855844
GEOLIS URLhttps://darc.gsj.jp/archives/detail?cls=geolis&pkey=300025959
DOI10.4287/jsprs.61.368
@idhttps://gbank.gsj.jp/ld/resource/geolis/300025959