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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Hui Qin, Zhengzheng Wang, Yu Tang, Tiesuo Geng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-01-01
Edice:	Remote Sensing
Témata:	crosshole ground penetrating radar (GPR) probabilistic inversion Markov chain Monte Carlo (MCMC) prior forward model
On-line přístup:	https://www.mdpi.com/2072-4292/13/2/215
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!