Evaluation of a Straight-Ray Forward Model for Bayesian Inversion of Crosshole Ground Penetrating Radar Data
Bayesian inversion of crosshole ground penetrating radar (GPR) data is capable of characterizing the subsurface dielectric properties and qualifying the associated uncertainties. Markov chain Monte Carlo (MCMC) simulations within the Bayesian inversion usually require thousands to millions of forwar...
Main Authors: | Hui Qin, Xiongyao Xie, Yu Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/8/6/630 |
Similar Items
-
Analysis of Forward Model, Data Type, and Prior Information in Probabilistic Inversion of Crosshole GPR Data
by: Hui Qin, et al.
Published: (2021-01-01) -
Ground Penetrating Radar Imaging of Ancient Clastic Deposits: A Tool for Three-dimensional Outcrop Studies
by: Akinpelu, Oluwatosin
Published: (2010) -
Ground Penetrating Radar Imaging of Ancient Clastic Deposits: A Tool for Three-dimensional Outcrop Studies
by: Akinpelu, Oluwatosin
Published: (2010) -
The use of ground penetrating radar for track substructure characterization
by: Vorster, Daniel Jacobus
Published: (2013) -
Full-waveform Inversion of Common-Offset Ground Penetrating Radar (GPR) data
by: Jazayeri, Sajad
Published: (2019)