MCMC Method of Inverse Problems Using a Neural Network—Application in GPR Crosshole Full Waveform Inversion: A Numerical Simulation Study

MCMC Method of Inverse Problems Using a Neural Network—Application in GPR Crosshole Full Waveform Inversion: A Numerical Simulation Study

Ground-penetrating radar (GPR) crosshole tomography is widely applied to subsurface media images. However, the inadequacies of ray methods may limit the resolution of crosshole radar images, since the ray method is a type of high-frequency approximation. To solve this problem, the full waveform meth...

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Bibliographic Details
Main Authors:	Shengchao Wang, Liguo Han, Xiangbo Gong, Shaoyue Zhang, Xingguo Huang, Pan Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Series:	Remote Sensing
Subjects:	ground penetrating radar (GPR) crosshole MCMC trained neural network full waveform inversion (FWI)
Online Access:	https://www.mdpi.com/2072-4292/14/6/1320

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