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@INPROCEEDINGS{Li:1045462,
author = {Li, Bingchao and Klotzsche, Anja and van der Kruk, Jan and
Hoven, Dominik and Wang, Xun and Feng, Deshan},
title = {{P}ossibilities for reducing {FWI} calculation costs for
{GPR} multi-offset data},
reportid = {FZJ-2025-03514},
year = {2025},
abstract = {Ground penetrating radar (GPR) is an important shallow
geophysical exploration method and can be widely applied in
near surface applications. Thereby, the GPR full-waveform
inversion (FWI) utilizes all information contained in the
data including dynamics and kinematics and therefore has
theoretically the highest imaging possibilities. One of the
bottlenecks of FWI is its high computational cost and
inability to meet the real-time needs for experimental
applications. To improve the efficiency of GPR FWI, we
provide two methods that can reduce the calculation time.
The first is source encoding, which can reduce the number of
forward simulations by simultaneously exciting multiple
sources in one simulation and mitigating crosstalk noise by
encoding the sources. The second is source subsampling,
which selects a subset of sources to participate in the
inversion, gradually uses more sources during the inversion
process, and in the final stage uses all the sources.
Numerical experiments show that compared with traditional
FWI, both methods effectively reduce the calculation time by
providing a similar reconstruction of the medium
properties.},
month = {Jul},
date = {2025-07-01},
organization = {13th International Workshop on
Advanced Ground Penetrating Radar,
Thessaloniki (Greece), 1 Jul 2025 - 4
Jul 2025},
subtyp = {After Call},
cin = {IBG-3},
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)6},
url = {https://juser.fz-juelich.de/record/1045462},
}