Articles with "gpr images" as a keyword



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Factors affecting the detectability of concrete delamination in GPR images

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Published in 2020 at "Construction and Building Materials"

DOI: 10.1016/j.conbuildmat.2020.121837

Abstract: Abstract Concrete delamination is a common type of defects in concrete bridge decks and rigid pavements. While it was reported that ground-penetrating radar (GPR) was able to visualize such types of defects in many instances,… read more here.

Keywords: delamination; concrete delamination; gpr images; detectability concrete ... See more keywords
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Analyses of GPR signals for characterization of ground conditions in urban areas

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Published in 2018 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2018.03.005

Abstract: Abstract Ground penetrating radar (GPR) is applied for the characterization of the ground conditions in urban areas. In addition, time domain reflectometry (TDR) and dynamic cone penetrometer (DCP) tests are conducted for the accurate analyses… read more here.

Keywords: ground conditions; urban areas; ground; gpr images ... See more keywords
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Vector Phase Symmetry for Stable Hyperbola Detection in Ground-Penetrating Radar Images

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3131496

Abstract: Hyperbola detection is an important application field of ground-penetrating radar (GPR) systems as underground threats and targets detected by these systems are presented in the form of a hyperbola. However, the low-amplitude hyperbola detection of… read more here.

Keywords: hyperbola detection; feature; detection; gpr images ... See more keywords
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Unsupervised deep learning-based ground penetrating radar image translation for internal defect recognition of underground engineering structures

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Published in 2023 at "Structural Health Monitoring"

DOI: 10.1177/14759217231173314

Abstract: Anomaly detection of internal defects in underground engineering structures is critical. This paper proposes an unsupervised deep learning image-to-image translation method tailored for ground penetrating radar (GPR) images. The proposed model can translate real-world GPR… read more here.

Keywords: unsupervised deep; gpr; deep learning; defect recognition ... See more keywords