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@ARTICLE{Hoven:1005265,
author = {Hoven, Dominik and Mester, Achim and Vereecken, Harry and
Klotzsche, Anja},
title = {{E}valuation of starting model approaches and effective
source wavelet variations for high-frequency
ground-penetrating radar full-waveform inversion},
journal = {Geophysics},
volume = {88},
number = {2},
issn = {0016-8033},
address = {Alexandria, Va.},
publisher = {GeoScienceWorld},
reportid = {FZJ-2023-01392},
pages = {KS27 - KS45},
year = {2023},
abstract = {High-frequency ground-penetrating radar (GPR) full-waveform
inversion (FWI) can enhance the characterization of
small-scale structures in the subsurface below the decimeter
scale. We have investigated the potential and requirements
to use FWI for higher-frequency data. Thereby, we focus on
the two most important criteria to achieve reliable FWI
results: adequate starting models that fulfill the
half-wavelength criterion and the accuracy of the effective
source wavelet. Therefore, we have defined a realistic
reference model, generated synthetic GPR data sets (200,
450, and 700 MHz), and tested different standard ray-based
starting model methods and frequency-hopping approaches to
derive results close to our reference model. Although
standard starting models provide good parameter
reconstruction for lower-frequency data, a frequency-hopping
approach is required for the 700 MHz data. In addition, we
have seen that the reconstruction of the conductivity
results is more sensitive to the presence of noise (25 dB)
than the permittivity tomograms. The definition of the
effective source wavelets is directly linked to the accuracy
of the starting models; therefore, we investigate the effect
on the FWI results for high-frequency data by varying the
source wavelets in terms of starting time and/or amplitude.
Considering the multiparameter nature of FWI, we observe
that time shifts have a greater influence on the performance
of the FWI than amplitude variations. Large time shifts of
approximately 0.1 ns for the 700 MHz data may lead to the
failure of the inversion, whereas amplitude variations
$(±5\%$ of the maximum amplitude) affect the quantitative
conductivity results only (no effect on permittivity) with
an increased root-mean-square error of the data of up to
$20\%.$ Using a stochastically perturbed synthetic model, we
determine an improved parameter reconstruction for higher
frequencies. On the basis of our findings, we develop a
workflow to obtain reliable results for high-frequency GPR
FWI for future users.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000983193900005},
doi = {10.1190/geo2021-0683.1},
url = {https://juser.fz-juelich.de/record/1005265},
}