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@ARTICLE{Meles:11380,
author = {Meles, G.A. and van der Kruk, J. and Greenhalgh, S. A. and
Ernst, J.R. and Maurer, H. and Green, A.G.},
title = {{A} {N}ew {V}ector {W}aveform {I}nversion {A}lgorithm for
{S}imultaneous {U}pdating of {C}onductivity and
{P}ermittivity {P}arameters {F}rom {C}ombination
{C}rosshole/{B}orehole-to-{S}urface {GPR} {D}ata},
journal = {IEEE transactions on geoscience and remote sensing},
volume = {48},
issn = {0196-2892},
address = {New York, NY},
publisher = {IEEE},
reportid = {PreJuSER-11380},
pages = {3391 - 3407},
year = {2010},
note = {Manuscript received July 2, 2009; revised October 23, 2009
and January 15, 2010. Date of publication June 7, 2010; date
of current version August 25, 2010. This work was supported
by grants from the Swiss Federal Institute of Technology
Zurich (ETH Zurich) and the Swiss National Science
Foundation.},
abstract = {We have developed a new full-waveform ground-penetrating
radar (GPR) multicomponent inversion scheme for imaging the
shallow subsurface using arbitrary recording configurations.
It yields significantly higher resolution images than
conventional tomographic techniques based on first-arrival
times and pulse amplitudes. The inversion is formulated as a
non-linear least squares problem in which the misfit between
observed and modeled data is minimized. The full-waveform
modeling is implemented by means of a finite-difference
time-domain solution of Maxwell's equations. We derive here
an iterative gradient method in which the steepest descent
direction, used to update iteratively the permittivity and
conductivity distributions in an optimal way, is found by
cross-correlating the forward vector wavefield and the
backward-propagated vectorial residual wavefield. The
formulation of the solution is given in a very general,
albeit compact and elegant, fashion. Each iteration step of
our inversion scheme requires several calculations of
propagating wavefields. Novel features of the scheme
compared to previous full-waveform GPR inversions are as
follows: 1) The permittivity and conductivity distributions
are updated simultaneously (rather than consecutively) at
each iterative step using improved gradient and step length
formulations; 2) the scheme is able to exploit the full
vector wavefield; and 3) various data sets/survey types
(e.g., crosshole and borehole-to-surface) can be
individually or jointly inverted. Several synthetic examples
involving both homogeneous and layered stochastic background
models with embedded anomalous inclusions demonstrate the
superiority of the new scheme over previous approaches.},
keywords = {J (WoSType)},
cin = {ICG-4},
ddc = {550},
cid = {I:(DE-Juel1)VDB793},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Geochemistry $\&$ Geophysics / Engineering, Electrical $\&$
Electronic / Remote Sensing},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000283142800007},
doi = {10.1109/TGRS.2010.2046670},
url = {https://juser.fz-juelich.de/record/11380},
}