Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar
Auteur(s): |
Pang Jo Chun
(Department of Civil Engineering The University of Tokyo Tokyo Japan)
M. Suzuki (Department of Civil Engineering The University of Tokyo Tokyo Japan) Y. Kato (Canaan Geo Research, Ltd. Ehime Japan) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Computer-Aided Civil and Infrastructure Engineering, novembre 2023, n. 17, v. 38 |
Page(s): | 2472-2490 |
DOI: | 10.1111/mice.13070 |
- Informations
sur cette fiche - Reference-ID
10734994 - Publié(e) le:
03.09.2023 - Modifié(e) le:
14.01.2024