Multiscale Full-Waveform Dual-Parameter Inversion Based on Total Variation Regularization to On-Ground GPR Data
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Release time:2019-11-21 Impact Factor:5.63 DOI number:10.1109/TGRS.2019.2926626 Affiliation of Author(s):the School of Geosciences and Info-Physics, Central South University, Changsha 410083, China Teaching and Research Group:Applied Geophysics Journal:IEEE Transactions on Geoscience and Remote Sensin Place of Publication:UNITED STATES Funded by:41574116， 41774132， CX2017B052 Key Words:Dual-parameter inversion, full-waveform inversion (FWI), ground-penetrating radar (GPR)... Abstract:Full-waveform inversion (FWI) in the time domain of ground-penetrating radar (GPR) data involves a vast number of calculations; thus, it requires a large amount of memory and is difficult to calculate on a personal computer (PC). In this paper, GPR data are analyzed with multiscale FWI using two parameters(permittivity and conductivity) based on total variation (TV) regularization, which is implemented on a PC using a graphics processing unit (GPU) parallel acceleration strategy. The inverse problem is considered to be a nonlinear optimization problem and is solved with limited-memory Broyden. Co-author:曹岑 First Author:冯德山 Indexed by:Other Correspondence Author:王珣 Document Code:DOI: 10.1109/TGRS.2019.2926626 Discipline:地质资源与地质工程 Document Type:J Volume:57 Issue:11 Page Number:9450-9465 ISSN No.:0196-2892 Translation or Not:no Date of Publication:2019-08-01 Included Journals:SCI -
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