Articles with "gpr data" as a keyword



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Visualizing GPR Data Using Spatial-Subband Configuration

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2868797

Abstract: In ground penetrating radar (GPR) applications, base-scale analysis can be a powerful tool to support data analysis and to build a consensus in data interpretation. In this paper, a study using the spatial-subband as a… read more here.

Keywords: visualizing gpr; gpr; using spatial; spatial subband ... See more keywords

Efficient Denoising of Multidimensional GPR Data Based on Fast Dictionary Learning

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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3366397

Abstract: Denoising plays a fundamental role in ground penetrating radar (GPR) data processing and determines the effect of anomaly extraction, inversion imaging, and other subsequent processing. In recent years, the sparse dictionary representation method k-singular value… read more here.

Keywords: dictionary learning; gpr; gpr data; denoising multidimensional ... See more keywords

A Novel Multifrequency GPR Data Fusion Algorithm Based on Time-Varying Weighting Strategy

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3121771

Abstract: Ground-penetrating radar (GPR) technology plays an important role in near-surface geophysical surveys. Usually, the dataset acquired by a higher frequency antenna has higher resolution but limited penetration depth, while the dataset collected by a lower… read more here.

Keywords: time; novel multifrequency; fusion; gpr ... See more keywords

An Entropy-Based Analysis of GPR Data for the Assessment of Railway Ballast Conditions

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Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2017.2683507

Abstract: The effective monitoring of ballasted railway track beds is fundamental for maintaining safe operational conditions of railways and lowering maintenance costs. Railway ballast can be damaged over time by the breakdown of aggregates or by… read more here.

Keywords: data assessment; railway; gpr data; ballast ... See more keywords
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Efficient Implementation of GPR Data Inversion in Case of Spatially Varying Antenna Polarizations

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Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2017.2779788

Abstract: Ground penetrating radar imaging from the data acquired with arbitrarily oriented dipole-like antennas is considered. To take into account variations of antenna orientations resulting in spatial rotation of antenna radiation patterns and polarizations of transmitted… read more here.

Keywords: data inversion; inversion; implementation gpr; method ... See more keywords

An Improved Hyperbolic Method and Its Application to Property Inversion in Martian Tianwen-1 GPR Data

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3270518

Abstract: On May 15, 2021, the Tianwen-1 (TW-1) successfully landed on the surface of Mars within the southern Utopia Planitia (UP). It delivered a rover named Zhurong equipped with ground penetrating radar (GPR), a device that… read more here.

Keywords: gpr; improved hyperbolic; gpr data; dielectric constant ... See more keywords

Loss Tangent Estimation From GPR Data in Complex Medium Scenarios Using Amplitude and Power Spectrum Centroid Frequency Shift Methods

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3272795

Abstract: Electromagnetic (EM) losses estimation in complex scenarios lacking subsurface continuous reflectors is challenging. We present here a robust approach based on the centroid frequency shift method and Ricker wavelet as the input signal, to compute… read more here.

Keywords: frequency shift; centroid frequency; gpr data; loss tangent ... See more keywords

Full-Waveform Inversion of Multifrequency GPR Data Using a Multiscale Approach Based on Deep Learning

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3382331

Abstract: Ground penetrating radar (GPR) full-waveform inversion (FWI) can make full use of kinematics information and dynamics information to achieve the highest theoretical resolution, serving as a promising tool for reconstructing subsurface structures and the physical… read more here.

Keywords: deep learning; based deep; gpr data; waveform inversion ... See more keywords

Deep Learning-Based Suppression of Strong Noise in GPR Data for Railway Subgrade Detection

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3400309

Abstract: Ground-penetrating radar (GPR) is a nondestructive near-surface geophysical detection method, which is often used to locate subgrade diseases in railway subgrade detection. However, the strong noise reflected by the sleeper will obscure the effective information… read more here.

Keywords: railway; railway subgrade; subgrade detection; gpr data ... See more keywords

SN-1DcycleGAN: An Unsupervised Learning-Based Network for Sleeper Interference Suppression in Ballasted Track GPR Data

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3413993

Abstract: Ground-penetrating radar (GPR) is extensively used for evaluating the condition of ballast layers. However, the detection accuracy is often compromised by the significant interference caused by concrete sleepers, which can obscure the characteristics of the… read more here.

Keywords: gpr; gpr data; sleeper interference; unsupervised learning ... See more keywords

Indicator-Guided Multifrequency GPR Data Fusion With Transformer

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3432933

Abstract: Multifrequency ground penetrating radar (GPR) data fusion integrates complementary information from multiple single central frequency measurements into a composite radargram, broadening the spectral bandwidth of signals and improving interpretation efficiency and accuracy. Here, we develop… read more here.

Keywords: fusion; multifrequency gpr; data fusion; gpr data ... See more keywords