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Memory-efficient frequency-domain Gauss-Newton method for wave-equation first-arrival traveltime inversion

期刊: NEAR SURFACE GEOPHYSICS, 2021; 19 (4)

Wave-equation traveltime inversion (WTI) can be used to automatically obtain a background near-surface velocity model (NSM), which overcomes the high-......

Improving crosshole ground-penetrating radar full-waveform inversion results by using progressively expanded bandwidths of the data

期刊: NEAR SURFACE GEOPHYSICS, 2021; 19 (4)

In the last decade, time-domain crosshole ground-penetrating radar full-waveform inversion has been applied to several different test sites and has im......

Vector P- and S-wave pre-stack reverse-time migration for tunnel spaces

期刊: NEAR SURFACE GEOPHYSICS, 2020; 18 (6)

Migration is considered to be a key step in the data processing of the seismic advancement predictions of tunnels, and it directly affects the final i......

Estimation of near-surface Q factor under constraint of layered velocity based on uphole survey data

期刊: NEAR SURFACE GEOPHYSICS, 2020; 18 (2)

To improve the resolution of seismic data, it is important to accurately estimate the near-surface quality factor, Q, which provides a measure of seis......

Evaluation of traveltime tomography in estimating near-surface velocity inversion

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (1)

Near-surface velocity structures are generally inverted by ray-based traveltime tomography in which the objective function is usually constructed usin......

JIF:1.06

Fusion of multiple time-domain GPR datasets of different center frequencies

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (2)

Ground-penetrating radar is widely used in non-destructive underground inspection because of its precision and high resolution, especially at shallow ......

JIF:1.06

Application of ground penetrating radar to detect tunnel lining defects based on improved full waveform inversion and reverse time migration

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (2)

Ground penetrating radar is a popular approach to detect defects in tunnel lining. However, the interpretation is usually based on the original image,......

JIF:1.06

Field validation of water-pipe leakage detection through spatial and time-lapse analysis of GPR wave velocity

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (3)

Detection of leakage in a buried water pipe is a crucial issue, as underground pipes become aged and these pipes are often used as pathways for aggres......

JIF:1.06

Modelling ground-penetrating radar wave propagation using graphics processor unit parallel implementation of the symplectic Euler method

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (4)

Inversion of ground-penetrating radar signals requires accurate and efficient forward modelling. The symplectic Euler method promises good results whe......

JIF:1.06

Rayleigh-wave dispersion analysis using complex-vector seismic data

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (5)

Identification of different modes of Rayleigh waves is essential in surface-wave surveys. Multi-mode Rayleigh waves can provide higher accuracy of the......

JIF:1.06

Using jittered sampling in designing geometry and imaging in shallow 3D seismic surveys

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (5)

When the depth of the shallow three-dimensional seismic exploration is less than 100 m, one often encounters very low velocities for the target and hi......

JIF:1.06

Ray-based reflection traveltime tomography using approximate stationary points

期刊: NEAR SURFACE GEOPHYSICS, 2019; 17 (5)

Reflection traveltime tomography has been used to describe subsurface velocity structures which, in practice, can be used as a background or initial m......

JIF:1.06

Applying joint traveltime and waveform inversion to image the Sichuan Basin, China

期刊: NEAR SURFACE GEOPHYSICS, 2018; 16 (1)

We apply a joint first-arrival traveltime and early-arrival waveform inversion method to image complex near-surface structures in the Sichuan Basin, C......

JIF:1.06

Sparsity constraints using a Laplacian kernel to get geological structures from potential field data

期刊: NEAR SURFACE GEOPHYSICS, 2018; 16 (1)

We propose a new method for including sparsity constraints into potential field data inversion using a Laplacian kernel. The method obtains three-dime......

JIF:1.06

GPR data reconstruction method based on compressive sensing and K-SVD

期刊: NEAR SURFACE GEOPHYSICS, 2018; 16 (1)

Missing and irregular ground-penetrating radar trace data resulting from sampling conditions are important issues in engineering. This study adopted c......

JIF:1.06

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