Analysis of Forward Model, Data Type, and Prior Information in Probabilistic Inversion of Crosshole GPR Data

Analysis of Forward Model, Data Type, and Prior Information in Probabilistic Inversion of Crosshole GPR Data

The crosshole ground penetrating radar (GPR) is a widely used tool to map subsurface properties, and inversion methods are used to derive electrical parameters from crosshole GPR data. In this paper, a probabilistic inversion algorithm that uses Markov chain Monte Carlo (MCMC) simulations within the...

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Bibliographic Details
Main Authors:	Hui Qin, Zhengzheng Wang, Yu Tang, Tiesuo Geng
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Remote Sensing
Subjects:	crosshole ground penetrating radar (GPR) probabilistic inversion Markov chain Monte Carlo (MCMC) prior forward model
Online Access:	https://www.mdpi.com/2072-4292/13/2/215

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