Application of pre-stack reverse time migration based on FWI velocity estimation to ground penetrating radar data

Liu, Sixin; Lei, Linlin; Fu, Lei; Wu, Junjun

doi:10.1016/j.jappgeo.2014.05.008

Cited by 36 publications

(10 citation statements)

References 24 publications

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“…Zhou et al [31] applied a velocity analysis method based on a genetic algorithm (GA) before migration to obtain the distribution of dielectric constants. Liu et al applied FWI to estimate subsurface velocity structure, which was later used in RTM [32]. To solve the problem of multi-offset GPR reverse time migration in rugged terrain, Bradford proposed a reverse time migration algorithm considering electromagnetic wave amplitude compensation and applied it to synthetic and measured GPR data processing [29].…”

Section: Introductionmentioning

confidence: 99%

Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures

Shen

Zhao

et al. 2021

Remote Sensing

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The evaluation and inspection of steel bars in reinforced concrete structures are critical for prolonging the service life of buildings. In this regard, ground-penetrating radar (GPR) has been a crucial alternative due to its non-invasiveness and convenience. This paper reports the experimental activities on a test-site area inside a camp in Shanghai, China. To assess the concrete structures of the building, GPR was employed for the detection and localization of rebars in columns, beams, and floors. From the GPR B-scan profiles acquired using a high-frequency antenna, the exact quantity of reinforcements was identified according to the hyperbola responses. Considering the difficulty of inferring the exact position and the scale of the rebars, we applied reverse time migration (RTM) to collapse the hyperbolic response and retrieve the target in a migrated image. To verify the effectiveness of the RTM algorithm, we carried out an experiment on a concrete model with three reinforced bars. We also utilized the RTM algorithm to process the B-scan profiles collected in a column that was later excavated. The imaging results validated the capacity of RTM in localizing and shaping rebars. Then, we employed the RTM algorithm for the GPR B-scan data collected from the other column. Based on the imaging profile, the quantity and positions of the rebars were correctly determined. Moreover, the thickness of the protective layer was evaluated according to the migrated result. These results demonstrate that GPR combined with RTM could provide useful foundation data for structural evaluation.

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Section: Introductionmentioning

confidence: 99%

Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures

Shen

Zhao

et al. 2021

Remote Sensing

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“…Zhou conducted the FD-RTM based on Maxwell's equations and achieved the common shot point prestack RTM of GPR data [36]. Liu combined the FD-RTM algorithm and the full waveform inversion to estimate migration velocity [37].…”

Section: Introductionmentioning

confidence: 99%

Imaging of the Internal Structure of Permafrost in the Tibetan Plateau Using Ground Penetrating Radar

Wang

et al. 2019

Electronics

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The distribution of the permafrost in the Tibetan Plateau has dramatically changed due to climate change, expressed as increasing permafrost degradation, thawing depth deepening and disappearance of island permafrost. These changes have serious impacts on the local ecological environment and the stability of engineering infrastructures. Ground penetrating radar (GPR) is used to detect permafrost active layer depth, the upper limit of permafrost and the thawing of permafrost with the season’s changes. Due to the influence of complex structure in the permafrost layer, it is difficult to effectively characterize the accurate structure within the permafrost on the radar profile. In order to get the high resolution GPR profile in the Tibetan Plateau, the reverse time migration (RTM) imaging method was applied to GPR real data. In this paper, RTM algorithm is proven to be correct through the groove’s model of forward modeling data. In the Beiluhe region, the imaging result of GPR RTM profiles show that the RTM of GPR makes use of diffracted energy to properly position the reflections caused by the gravels, pebbles, cobbles and small discontinuities. It can accurately determine the depth of the active layer bottom interface in the migration section. In order to prove the accuracy of interpretation results of real data RTM section, we set up the three dielectric constant models based on the real data RTM profiles and geological information, and obtained the model data RTM profiles, which can prove the accuracy of interpretation results of three-line RTM profiles. The results of three-line RTM bears great significance for the study of complex structure and freezing and thawing process of permafrost at the Beiluhe region on the Tibetan Plateau.

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“…Reverse time migration (Baysal et al, 1983;Chang and McMechan, 1987) is a wave-propagation-based process that focuses reflections and diffractions and yields image of the subsurface area. Due to the similarity between the Electromagnetic wave and the seismic wave in kinematics and dynamics, RTM has been successfully implemented in processing GPR data to obtain the true depths and shapes of internal structures (Fisher et al, 1992;Leuschen and Plumb, 2001;Liu et al, 2014). However, the presence of electromagnetic wave attenuation distorts the phase and amplitude of the signal, and therefore degrades the image quality (Zhu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

A high-resolution weak-signal reconstruction method for electromagnetic wave modeling and reverse time migration of ground-penetrating radar data

Jia

Sun

2017

SEG Technical Program Expanded Abstracts 2017

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Staining algorithm (SA) was proposed to extract waves that pass through the target area and image the target area with the extracted wave to obtain a higher image quality. In this study, we proposed an approach to reconstruct weak signals for electromagnetic (EM) wave modeling and established the correspondence between subsurface target structures and the reconstructed wavefield. When using the reconstructed partial wavefield in the reverse time migration (RTM) of ground-penetrating radar (GPR) data, we can mute nontarget information from the conventional RTM image and keep target related structures. Numerical experiments show that our method is able to extract low-energy waves under lossy layers. Furthermore, the constructed electromagnetic wavefield is actually a subset of the real electromagnetic wavefield. We applied this method to target-oriented imaging and obtained high-quality images of target structures in lossy media.

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Application of pre-stack reverse time migration based on FWI velocity estimation to ground penetrating radar data

Cited by 36 publications

References 24 publications

Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures

Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures

Imaging of the Internal Structure of Permafrost in the Tibetan Plateau Using Ground Penetrating Radar

A high-resolution weak-signal reconstruction method for electromagnetic wave modeling and reverse time migration of ground-penetrating radar data

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