Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground‐penetrating radar
Author(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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Medium: | journal article |
Language(s): | English |
Published in: | Computer-Aided Civil and Infrastructure Engineering, November 2023, n. 17, v. 38 |
Page(s): | 2472-2490 |
DOI: | 10.1111/mice.13070 |
- About this
data sheet - Reference-ID
10734994 - Published on:
03/09/2023 - Last updated on:
14/01/2024