Sub3DNet1.0: a deep-learning model for regional-scale 3D subsurface structure mapping

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Sub3DNet1.0: a deep-learning model for regional-scale 3D subsurface structure mapping ; volume:14 ; number:6 ; year:2021 ; pages:3421-3435 ; extent:15
Geoscientific model development ; 14, Heft 6 (2021), 3421-3435 (gesamt 15)

Creator: Jiang, Zhenjiao
Mallants, Dirk
Gao, Lei
Munday, Tim
Mariethoz, Gregoire
Peeters, Luk

DOI: 10.5194/gmd-14-3421-2021

URN: urn:nbn:de:101:1-2021061005162201189790

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Jiang, Zhenjiao
Mallants, Dirk
Gao, Lei
Munday, Tim
Mariethoz, Gregoire
Peeters, Luk

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Sub3DNet1.0: a deep-learning model for regional-scale 3D subsurface structure mapping

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