Source-wavelet estimation during full-waveform inversion of ground-penetrating radar data
Details
Serval ID
serval:BIB_BB4CB44A749A
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Source-wavelet estimation during full-waveform inversion of ground-penetrating radar data
Title of the conference
16th European Meeting of Environmental and Engineering Geophysics, Zurich, Switzerland
Organization
European Association of Geoscientists & Engineers
Publication state
Published
Issued date
2010
Pages
A09
Language
english
Notes
Belina2010
Abstract
A major issue in the application of waveform inversion methods to
crosshole ground-penetrating radar (GPR) data is the accurate estimation
of the source wavelet. Here, we explore the viability and robustness
of incorporating this step into a recently published time-domain
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
of 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 ground-penetrating radar (GPR) data is the accurate estimation
of the source wavelet. Here, we explore the viability and robustness
of incorporating this step into a recently published time-domain
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
of 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.
Create date
25/11/2013 17:31
Last modification date
20/08/2019 15:29