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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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Autori principali: Hui Qin, Zhengzheng Wang, Yu Tang, Tiesuo Geng
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2021-01-01
Serie:Remote Sensing
Soggetti:
crosshole ground penetrating radar (GPR)
probabilistic inversion
Markov chain Monte Carlo (MCMC)
prior
forward model
Accesso online:https://www.mdpi.com/2072-4292/13/2/215
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