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Advancements in Using Deep Learning Methods for GPR Detecti..:
, In:
2023 12th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
,
Lantini, Livia
;
Massimi, Federica
;
Benedetto, Francesco
. - p. 1-4 , 2023
Link:
https://doi.org/10.1109/IWAGPR57138.2023.10329164
RT T1 <cTitle>2023 12th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)</cTitle>: T1 <Title>Advancements in Using Deep Learning Methods for GPR Detection of Tree Roots</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10329164&Exemplar=1&LAN=DE A1 Lantini, Livia A1 Massimi, Federica A1 Benedetto, Francesco A1 Tosti, Fabio YR 2023 SN 2687-7899 K1 Deep learning K1 Natural resources K1 Ground penetrating radar K1 Soil K1 Nonhomogeneous media K1 Information filters K1 Convolutional neural networks K1 Ground penetrating radar (GPR) K1 tree roots assessment K1 deep learning K1 convolutional neural networks K1 spectrograms SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IWAGPR57138.2023.10329164 DO https://doi.org/10.1109/IWAGPR57138.2023.10329164 SF ELIB - SuUB Bremen
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