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- 摘要
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- 实验方案
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[IEEE 2018 17th International Conference on Ground Penetrating Radar (GPR) - Rapperswil, Switzerland (2018.6.18-2018.6.21)] 2018 17th International Conference on Ground Penetrating Radar (GPR) - Full-polarimetric Ground Penetrating Radar Underground Objects Classification Using Random Forest
摘要： In recent years, some people have applied the full-polarimetric GPR into the classification of underground objects and obtained good results. However, with the increase of the volume of data, the efficiency of calculation will decrease. Random forest is a method for large volume data and has been widely used in remote sensing. In this paper, we used the random forest for the classification of underground objects. For testing the feasibility, we performed laboratory experiment and used the decomposition parameters of Freeman-Durden 3-component as the features of classification. Finally, the accuracy of classification 78.57% was obtained and the final figures of classification further demonstrated the efficiency of the random forest for classification of underground objects. This paves the way for further practical research of machine leaning algorithm for full-polarimetric GPR classification.
关键词： random forest (RF),Freeman-Durden 3-component decomposition,full-polarimetric ground penetrating radar,underground objects classification
更新于2025-09-10 09:29:36
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[Sustainable Civil Infrastructures] Advances and Challenges in Structural Engineering (Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures, Egypt 2018 – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE)) || Utilization of Ground Penetrating Radar (GPR) in the Non-destructive Assessment of FRP Laminate-Concrete Bond Strength
摘要： Repair and rehabilitation methods for civil infrastructure have become a topic of great interest to engineers, and fiber reinforced polymer (FRP) laminate is one of the most popular and practical solutions for strengthening and retrofitting of concrete structures. Several past studies indicated that significant increase in strength and stiffness can be achieved by using this technology. The quality of the FRP-concrete bond is critical in transferring stresses through the interface, and the in-situ evaluation of the bond strength is still a challenging issue. To quantitatively evaluate the bond strength, non-destructive technique (NDT) using ground penetrating radar (GPR) was utilized on 32 laboratory concrete beams strengthened with carbon FRP (CFRP) laminates. Various parameters that may affect the bond strength, such as surface roughness, voids, epoxy type and thickness, and FRP type, were considered. The experiment was conducted with the objective of non-destructively detecting the parameters. The associated bond capacity of each sample was then found through a three-point bending test and also correlated through finite element modeling. Quantitative relationships between each of the parameters in the study and the associated bond strengths were then developed. The results of this study will be very useful in estimating the in-service bond conditions of applied FRP laminate, thereby estimating the expected strength contribution of the laminate in the overall flexural strength of structural members.
关键词： Ground Penetrating Radar,Non-destructive Testing,FRP,Concrete Structures,Bond Strength
更新于2025-09-10 09:29:36
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[IEEE 2018 XXIIIrd International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED) - Tbilisi, Georgia (2018.9.24-2018.9.27)] 2018 XXIIIrd International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED) - GPR Image Focusing Using Matched Filter Algorithm
摘要： In this study a synthetic aperture radar-based reconstruction technique is applied to focus the unwanted disruptive effects in the two-dimensional ground penetrating radar data. The formulation of the applied Matched Filter Algorithm (MFA) which completely removes the hyperbolic effects is presented in detail. To test the capability of the proposed technique an experimental measurement setup is constructed in the laboratory and MFA is operated to gathered real GPR data. Thanks to the applied technique, high-resolution focused B-Scan GPR images are successfully obtained.
关键词： Ground penetrating radar(GPR),synthetic aperture radar(SAR),matched filter algorithm(MFA)
更新于2025-09-09 09:28:46
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[IEEE 2018 17th International Conference on Ground Penetrating Radar (GPR) - Rapperswil, Switzerland (2018.6.18-2018.6.21)] 2018 17th International Conference on Ground Penetrating Radar (GPR) - An FPGA-based Flexible and MIMO-capable GPR System
摘要： Ground penetrating radar (GPR) has broad applications in non-destructive subsurface imaging. Most GPRs on the market are bistatic devices that illuminate the buried objects using analog pulses with simple Gaussian-like shapes. These GPRs suffer from drift in the scan results and have either a low-resolution or a low depth of scan, which limits their application. High resolution along with an increased depth of scan can be achieved by transmitting maximal length pseudorandom sequences (m-sequences) which enable pulse compression due to their near-ideal autocorrelation properties. In addition, improved object localization and reduced drift can be obtained with the spatial diversity offered by a MIMO transceiver. This paper discusses the design and implementation of a 8×8 MIMO-capable impulse-based GPR that transmits m-sequences generated on a low-cost FPGA platform, performs a quadrature transform on the received signal to reduce computation, and implements sub-sampling to sample the quadrature-converted signals using low-speed ADCs. Preliminary experimental results are also presented.
关键词： multistatic,MIMO,pulse compression,subsampling,m-sequence,GPR,Ground penetrating radar
更新于2025-09-09 09:28:46
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Nondestructive Testing for Archaeology and Cultural Heritage (A Practical Guide and New Perspectives) || Nondestructive Testing Technologies for Cultural Heritage: Overview
摘要： In this chapter, the most used NDT geophysical technologies applied in the field of preventive archaeology and in the analysis of monumental heritage will be considered. Starting from the current state of the art, we will examine: Ground-Penetrating Radar (GPR), electrical active (Electrical Resistivity Tomography—ERT; induced polarization—IP) and passive (Self-Potential—SP), and seismic sonic an ultrasonic methods. Here some important theoretical aspect will be explained as simply as possible, also using practical examples.
关键词： Monumental Heritage,Preventive Archaeology,Induced Polarization,Electrical Resistivity Tomography,Geophysical Technologies,Seismic Sonic,Self-Potential,Ground-Penetrating Radar,Nondestructive Testing,Ultrasonic Methods
更新于2025-09-09 09:28:46
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Real-Time Modeling of Forward-Looking Synthetic Aperture Ground Penetrating Radar Scattering From Rough Terrain
摘要： Ground penetrating radar (GPR) is a viable tool for fast and high fidelity detection of concealed explosive threats. The radar effectiveness is limited by scattering from rough terrain which considerably obscures the buried target response. To calculate the rough ground scattering, a 3-D full-wave algorithm such as finite-difference frequency-domain (FDFD) method is required but is often prohibitive for multiple frames when the GPR antennas are distant from the target region. This paper presents a real-time 3-D modeling of a moving platform forward-looking GPR scattering from rough terrain located at great electrical distances from the GPR antenna. For a synthetic aperture, the computational domain of the focal region is reduced to a very small subset of the entire observed volume, and the surface clutter is computed via a mere multiplication of a precomputed impulse response matrix of the rough ground with the matrix characterizing the GPR transmitting signal. For a vehicle-mounted GPR detection system, this results in a significant reduction of complexity and saving of computation resources. The effectiveness of the algorithm is evaluated through an implementation of 3-D Monte Carlo simulation for various rough surface parameters. Our developed model compares well with the direct FDFD results, and can be used for lossy and frequency-dispersive soils.
关键词： ground penetrating radar (GPR),Computational electromagnetics (EMs),rough surface scattering,subsurface detection
更新于2025-09-09 09:28:46
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[IEEE 2018 15th European Radar Conference (EuRAD) - Madrid, Spain (2018.9.26-2018.9.28)] 2018 15th European Radar Conference (EuRAD) - Three-dimensional Advanced Tomographic Procedure for the Imaging of Metallic and Dielectric Targets through GPR Data
摘要： The tomographic algorithms commonly used to process ground penetrating radar (GPR) data assume the scattering phenomenon activated by ideal sources. This can be considered an adequately accurate assumption if the actual GPR antenna presents almost nondirectional features, but should instead properly revisited when a target is illuminated by means of more collimated near-field distributions. In this work, moving from the recent advancements done for two-dimensional scalar GPR imaging theory, we propose a three-dimensional (3-D) vector formulation of the scattering equation, modeling the incident field with the actual field radiated by a directional antenna. Both 3-D dielectric and metallic targets are reconstructed in challenging environments by considering multi- frequency data at microwaves. A comparative analysis is developed through the processing of numerical data by means of a singular-value decomposition as well as an adjoint-operator scheme. The effectiveness of is assessed considering full-wave synthetic data generated on a customized virtual setup based on a commercial tool.
关键词： 3-D imaging,microwave tomography,Ground Penetrating Radar
更新于2025-09-04 15:30:14