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%0 Journal Article
%1 journals/tgrs/LiuRLXWCJ21
%A Liu, Bin
%A Ren, Yuxiao
%A Liu, Hanchi
%A Xu, Hui
%A Wang, Zhengfang
%A Cohn, Anthony G.
%A Jiang, Peng
%D 2021
%J IEEE Trans. Geosci. Remote. Sens.
%K dblp
%N 10
%P 8305-8325
%T GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings.
%U http://dblp.uni-trier.de/db/journals/tgrs/tgrs59.html#LiuRLXWCJ21
%V 59
@article{journals/tgrs/LiuRLXWCJ21,
added-at = {2023-06-20T00:00:00.000+0200},
author = {Liu, Bin and Ren, Yuxiao and Liu, Hanchi and Xu, Hui and Wang, Zhengfang and Cohn, Anthony G. and Jiang, Peng},
biburl = {https://www.bibsonomy.org/bibtex/2b1b4395da6d998172402f508985dd559/dblp},
ee = {https://doi.org/10.1109/TGRS.2020.3046454},
interhash = {c83130ddbc5c1166140567cf45a6eadf},
intrahash = {b1b4395da6d998172402f508985dd559},
journal = {IEEE Trans. Geosci. Remote. Sens.},
keywords = {dblp},
number = 10,
pages = {8305-8325},
timestamp = {2024-04-08T16:13:44.000+0200},
title = {GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings.},
url = {http://dblp.uni-trier.de/db/journals/tgrs/tgrs59.html#LiuRLXWCJ21},
volume = 59,
year = 2021
}