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Article: Segmentation and Deep Learning to Digitalize the Frontal Kinematics of Flow-type Landslides

TitleSegmentation and Deep Learning to Digitalize the Frontal Kinematics of Flow-type Landslides
Authors
Choi, CELiang, Z
Issue Date21-Dec-2023
PublisherSpringer
Citation
Acta Geotechnica, 2024 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/341701
ISSN
1861-1125
2021 Impact Factor: 5.570
2020 SCImago Journal Rankings: 2.153

 

DC FieldValueLanguage
dc.contributor.authorChoi, CE-
dc.contributor.authorLiang, Z-
dc.date.accessioned2024-03-20T06:58:24Z-
dc.date.available2024-03-20T06:58:24Z-
dc.date.issued2023-12-21-
dc.identifier.citationActa Geotechnica, 2024-
dc.identifier.issn1861-1125-
dc.identifier.urihttp://hdl.handle.net/10722/341701-
dc.languageeng-
dc.publisherSpringer-
dc.relation.ispartofActa Geotechnica-
dc.titleSegmentation and Deep Learning to Digitalize the Frontal Kinematics of Flow-type Landslides-
dc.typeArticle-
dc.identifier.eissn1861-1133-
dc.identifier.issnl1861-1125-

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