GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings

Liu, B, Ren, Y, Liu, H et al. (4 more authors) (2021) GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings. IEEE Transactions on Geoscience and Remote Sensing, 59 (10). pp. 8305-8325. ISSN 0196-2892

Abstract

Metadata

Authors/Creators:
Keywords: Deep neural networks , ground-penetrating radar (GPR) data inversion , GPR , tunnel lining detection
Dates:
  • Published (online): 13 January 2021
  • Published: October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Oct 2021 14:10
Last Modified: 21 Oct 2021 14:10
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/tgrs.2020.3046454

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