Journal ArticleDOI
Hybrid Polarimetric GPR Calibration and Elongated Object Orientation Estimation
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TLDR
It is concluded that radar polarimetry can provide not only richer information than single-polarization GPR, but also a reliable approach for orientation estimation of a subsurface elongated object.Abstract:
Ground penetrating radar (GPR) has been widely applied to the detection of subsurface elongated targets, such as underground pipes, concrete rebars, and subsurface fractures. The orientation angle of a subsurface elongated target can hardly be delineated by a commercial single-polarization GPR system. In this paper, a hybrid dual-polarimetric GPR system, which consists of a circularly polarized transmitting antenna and two linearly polarized receiving antenna, is employed to detect buried elongated objects. A polarimetric calibration experiment using a gridded trihedral is carried out to correct the imbalances and cross talk between the two receiving channels. A full-polarimetric scattering matrix is extracted from the double-channel GPR signals reflected from a buried elongated object. An improved Alford rotation method is proposed to estimate the orientation angle of the elongated object from the extracted scattering matrix, and its accuracy is validated by a numerical test. A laboratory experiment was further conducted to detect five metal rebar buried in dry sand at different orientation angle relative to the GPR scan direction. The maximum relative error of the estimated angles of the buried rebars in the migrated GPR images is less than 5%. It is concluded that radar polarimetry can provide not only richer information than single-polarization GPR, but also a reliable approach for orientation estimation of a subsurface elongated object.read more
Citations
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Journal ArticleDOI
Detection and localization of rebar in concrete by deep learning using ground penetrating radar
TL;DR: An automatic detection and localization method using deep learning and migration to identify regions of interest containing hyperbolas in a GPR image and locate the rebar.
Journal ArticleDOI
Classification of High-Spatial-Resolution Remote Sensing Scenes Method Using Transfer Learning and Deep Convolutional Neural Network
TL;DR: Experimental results indicate that the proposed TL-DeCNN method provides absolute dominance results without overfitting, when compared with the VGG19, ResNet50, and InceptionV3, directly trained on the few shot samples.
Journal ArticleDOI
Detection of early-stage rebar corrosion using a polarimetric ground penetrating radar system
TL;DR: In this paper , a hybrid-polarization ground penetrating radar (GPR) system is proposed for detecting and evaluation of rebar corrosion, which can record rebar reflections in two orthogonal polarimetric channels.
Journal ArticleDOI
Ultrasonic inspection of grouted splice sleeves in precast concrete structures using elastic reverse time migration method
TL;DR: In this article, an ultrasonic imaging method is proposed for inspecting the grouted splice sleeves in precast concrete (PC) structures using reverse time migration (RTM) algorithm based on an elastic wave equation.
Journal ArticleDOI
Penetration Properties of Ground Penetrating Radar Waves Through Rebar Grids
TL;DR: A low cutoff frequency is recommended for selecting a GPR antenna with an appropriate nominal frequency when it is used in the detection of an anomaly inside and behind a reinforced concrete structure, in which the spacing of the rebar net is known.
References
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Journal ArticleDOI
Automated GPR Rebar Analysis for Robotic Bridge Deck Evaluation
TL;DR: A novel algorithm is presented for automated rebar detection and analysis that achieves robust performance by integrating machine learning classification using image-based gradient features and robust curve fitting of the rebar hyperbolic signature.
Journal ArticleDOI
Vertical fracture detection by exploiting the polarization properties of ground-penetrating radar signals
Georgios P. Tsoflias,Georgios P. Tsoflias,Jean Paul Van Gestel,Paul L. Stoffa,Donald D. Blankenship,Mrinal K. Sen +5 more
TL;DR: In this paper, the authors employ analytical solutions, 3D finitedifference time-domain modeling, and field measurements of multipolarization ground-penetrating radar (GPR) data to investigate EM wave transmission through fractured geologic formations.
Journal ArticleDOI
Finding the strike direction of fractures using GPR
TL;DR: In this article, a strike-direction-finding scheme using data obtained from three different antenna configurations for the same survey line was developed. But the method was applied to a field survey at a granite quarry in southern Korea, and the results matched fairly well with those of known fractures and joints.
Journal ArticleDOI
Improving Target Detection Accuracy Based on Multipolarization MIMO GPR
TL;DR: The results demonstrate that the MIMO GPR system with a multipolarization detection mode can overcome the influence of target radar cross sections and antenna radiation directions, and improve target detection accuracy effectively.
Proceedings ArticleDOI
Application of GPR to map concrete to delineate embedded structural elements and defects
TL;DR: This paper discusses the design considerations and present the final system embodiment of a system which enables non-GPR specialists to image concrete, and uses a number of data examples from real environments to illustrate the development.
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