Analysis of an iterative deconvolution approach for estimating the source wavelet during waveform inversion of crosshole ground-penetrating radar data
Details
Serval ID
serval:BIB_AE24E4AB0271
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Analysis of an iterative deconvolution approach for estimating the source wavelet during waveform inversion of crosshole ground-penetrating radar data
Journal
Journal of Applied Geophysics
ISSN-L
0926-9851
Publication state
Published
Issued date
2012
Peer-reviewed
Oui
Volume
78
Pages
20-30
Language
english
Notes
Belina2012
Abstract
A major issue in the application of waveform inversion methods to
crosshole georadar data is the accurate estimation of the source
wavelet. Here, we explore the viability and robustness of incorporating
this step into a time-domain waveform inversion procedure through
an iterative deconvolution approach. Our results indicate that, at
least in non-dispersive electrical environments, such an approach
provides remarkably accurate and robust estimates of the source wavelet
even in the presence of strong heterogeneity in both the dielectric
permittivity and electrical conductivity. Our results also indicate
that the proposed source wavelet estimation approach is relatively
insensitive to ambient noise and to the phase characteristics of
the starting wavelet. Finally, there appears to be little-to-no trade-off
between the wavelet estimation and the tomographic imaging procedures.
crosshole georadar data is the accurate estimation of the source
wavelet. Here, we explore the viability and robustness of incorporating
this step into a time-domain waveform inversion procedure through
an iterative deconvolution approach. Our results indicate that, at
least in non-dispersive electrical environments, such an approach
provides remarkably accurate and robust estimates of the source wavelet
even in the presence of strong heterogeneity in both the dielectric
permittivity and electrical conductivity. Our results also indicate
that the proposed source wavelet estimation approach is relatively
insensitive to ambient noise and to the phase characteristics of
the starting wavelet. Finally, there appears to be little-to-no trade-off
between the wavelet estimation and the tomographic imaging procedures.
Keywords
Source wavelet estimation, Waveform inversion, Crosshole georadar, tomography, Finite-difference time-domain method, Deconvolution
Create date
25/11/2013 17:31
Last modification date
20/08/2019 15:17