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Journal articles on the topic 'GPR technology'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Khan, Khalid, Chi-Wei Su, Muhammad Umar, and Weike Zhang. "GEOPOLITICS OF TECHNOLOGY: A NEW BATTLEGROUND?" Technological and Economic Development of Economy 28, no. 2 (2022): 442–62. http://dx.doi.org/10.3846/tede.2022.16028.

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This study aims to consider the causality between global geopolitical risk (GPR) and technology (TEC) using the rolling window approach. The results reveal that GPR has a significant impact on TEC across different sub-samples. It points out that GPR increases TEC and both are highly integrated and the geopolitical constraints are pivotal to TEC development. On the other hand, TEC leads GPR due to competition between countries for geopolitical dominance and security. The results back the Becker Model, which reveals that divergence of interests between countries drive TEC competition and systema

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Xu, Juncai, and Bangjun Lei. "Data Interpretation Technology of GPR Survey Based on Variational Mode Decomposition." Applied Sciences 9, no. 10 (2019): 2017. http://dx.doi.org/10.3390/app9102017.

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Data interpretation is the crucial scientific component that influences the inspection accuracy of ground penetrating radar (GPR). Developing algorithms for interpreting GPR data is a research focus of increasing interest. The problem of algorithms for interpreting GPR data is unresolved. To this end, this study proposes a sophisticated algorithm for interpreting GPR data with the aim of improving the inspection resolution. The algorithm is formulated by integrating variational mode decomposition (VMD) and Hilbert–Huang transform techniques. With this method, the intrinsic mode function of the

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Alshamy, Hussain, Jafar Sadahb, and Thamir Saeed. "Different techniques in detection of buried objects using ground-penetrating radar." Al-Qadisiyah Journal for Engineering Sciences 14, no. 2 (2022): 223–31. http://dx.doi.org/10.30772/qjes.v14i4.892.

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The application of ground -penetrating radar (GPR) is addressed in this study, with the main application being the detection and classification of an underground target using GPR technology. This study focuses on the important task of GPR that needs to be done to improve the detection process, as well as ways to eliminate unwanted signals from the GPR image. The accuracy of detecting buried objects using GPR largely depends on the algorithms used, as the smart algorithm technology has proven to be the most accurate, effective, and cost-effective

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Salim, Syed Idrus Syed, Asrul Zakaria, Nor Azme Nordin, and Sulzakimin Mohamed. "Implementation of EML and GPR Technology for Underground Utilities Detection." Engineering, Agriculture, Science and Technology Journal (EAST-J) 1, no. 1 (2022): 75–80. http://dx.doi.org/10.37698/eastj.v1i1.129.

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Underground utility mapping is important for extracting underground utility information such as electrical and telephone cables, gas pipes, drainage pipes and water pipes. Electromagnetic Location Surveys (EML) and Ground Penetrating Radar (GPR) have been widely used for mapping underground utilities at certain depths and refined utility characteristics. If it involves certain soils such as involving soils that are harder than usual, there is a possibility that the waves transmitted by the GPR are slower as compared to softer soils. Even the moisture rate on the soil also affects the GPR image

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Chi, Yuelong, Su Pang, Lifeng Mao, Qiang Zhou, and Yuehua Chi. "Research on Airborne Ground-Penetrating Radar Imaging Technology in Complex Terrain." Remote Sensing 16, no. 22 (2024): 4174. http://dx.doi.org/10.3390/rs16224174.

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The integration of ground-penetrating radar (GPR) with unmanned aerial vehicles (UAVs) enables efficient non-contact detection, performing exceptionally well in complex terrains and extreme environments. However, challenges in data processing and interpretation remain significant obstacles to fully utilizing this technology. To mitigate the effects of numerical dispersion, this paper develops a high-order finite-difference time-domain (FDTD(2,4)) three-dimensional code suitable for airborne GPR numerical simulations. The simulation results are compared with traditional FDTD methods, validating

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Zhang, Zhen Shuan, Yu Deng, and Shi Feng Fu. "Research on the Technology of Testing and Evaluation of the Existing Building Foundations." Applied Mechanics and Materials 121-126 (October 2011): 1382–86. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1382.

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In this paper, some technologys are measured and studied with good applicability and reliability,such as static loading test technology,in situ sampling technology,shear wave velocity test technology,GPR testing technology,low strain dynamic testing and settlement observation technology. It can be popularized in engineering.

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Sarah Tengku Amran, Tengku, Mohamad Ridzuan Ahmad, Amer Hazreq Haron, et al. "Underground utility inspection using ground penetrating radar." IOP Conference Series: Materials Science and Engineering 1308, no. 1 (2024): 012021. http://dx.doi.org/10.1088/1757-899x/1308/1/012021.

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Abstract Underground utility refers to any below-ground line, installation, or structure used by a service or utility provider. Underground utility inspection is a process of examining the designated area that needs to be inspected in detail. The purpose of the inspection is to ensure that the underground utility is in good condition and to check for any faults. By using the ground penetrating radar (GPR), the technology can capture images below the surface of the ground using radio waves. The various data through previous references are used to discuss and analyse the capability of GPR for un

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Borkovcová, Anna, Vladislav Borecký, Salih Serkan Artagan, and Filip Ševčík. "Quantification of the Mechanized Ballast Cleaning Process Efficiency Using GPR Technology." Remote Sensing 13, no. 8 (2021): 1510. http://dx.doi.org/10.3390/rs13081510.

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Ground Penetrating Radar (GPR) has been used recently for diagnostics of the railway infrastructure, particularly the ballast layer. To overcome ballast fouling, mechanized ballast cleaning process, which increases track occupancy time and cost, is usually used. Hence it is of crucial significance to identify at which stage of track ballast life cycle, and level of fouling, ballast cleaning should be initiated. In the present study, a series of in situ GPR surveys on selected railway track sections in Czechia was performed to obtain railway granite ballast relative dielectric permittivity (RDP

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Tang, Chenxi, and Xiaojun Du. "Geopolitical Risk and Ownership Decision in Green Overseas Investment: Dual Moderation of Corporate Green Technology Capability and Host Green Governance." Sustainability 16, no. 13 (2024): 5452. http://dx.doi.org/10.3390/su16135452.

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In pursuit of green, low-carbon, and sustainable development, Belt and Road Initiative (BRI) countries urgently require overseas investment in green projects. However, these investments face significant geopolitical risk (GPR) challenges. This study thoroughly investigates how GPR influences the foreign ownership decisions of Chinese enterprises investing in green projects in BRI countries. It further examines the dual moderating effects of corporate green technology capability and host green governance on this relationship. Empirical analysis was conducted using the fractional logit model, an

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Li, Jin Kui, Liu Jie Du, and Jing Jing Li. "Grouting Reinforcement of Governance on Detecting Evaluation of Goaf by Using GPR." Applied Mechanics and Materials 353-356 (August 2013): 347–51. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.347.

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The existence of underground goaf causes serious harm to the security and stability of the surface installations. Using the ground penetrating radar (GPR) detects the nine road in Jinzhou District of Dalian across the railway line three goaf grouting reinforcement. This article introduces the principles and technical methods of GPR, including data acquisition and data processing of GPR, discussing the effect of using GPR technology to detect the superficial goaf.

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Qiu, Zhi, Zuoxi Zhao, Shaoji Chen, Junyuan Zeng, Yuan Huang, and Borui Xiang. "Application of an Improved YOLOv5 Algorithm in Real-Time Detection of Foreign Objects by Ground Penetrating Radar." Remote Sensing 14, no. 8 (2022): 1895. http://dx.doi.org/10.3390/rs14081895.

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Ground penetrating radar (GPR) detection is a popular technology in civil engineering. Because of its advantages of non-destructive testing (NDT) and high work efficiency, GPR is widely used to detect hard foreign objects in soil. However, the interpretation of GPR images relies heavily on the work experience of researchers, which may lead to problems of low detection efficiency and a high false recognition rate. Therefore, this paper proposes a real-time detection technology of GPR based on deep learning for the application of soil foreign object detection. In this study, the GPR image signal

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Zhang, Ju, Qingwu Hu, Yemei Zhou, Pengcheng Zhao, and Xuzhe Duan. "A Multi-Level Robust Positioning Method for Three-Dimensional Ground Penetrating Radar (3D GPR) Road Underground Imaging in Dense Urban Areas." Remote Sensing 16, no. 9 (2024): 1559. http://dx.doi.org/10.3390/rs16091559.

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Three-Dimensional Ground Penetrating Radar (3D GPR) detects subsurface targets non-destructively, rapidly, and continuously. The complex environment around urban roads affects the positioning accuracy of 3D GPR. The positioning accuracy directly affects the data quality, as inaccurate positioning can lead to distortion and misalignment of 3D GPR data. This paper proposed a multi-level robust positioning method to improve the positioning accuracy of 3D GPR in dense urban areas in order to obtain more accurate underground data. In environments with good GNSS signals, fast and high-precision posi

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Tao, Liu, Li Jia, Zheng Zhi-gang, et al. "Research on road engineering detection method based on GPR technology." E3S Web of Conferences 165 (2020): 04014. http://dx.doi.org/10.1051/e3sconf/202016504014.

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GPR is an effective non-destructive testing technology. This paper introduces its composition principle and operation method, explains the process of parameter setting and image optimization, obtains the dielectric constant of 10000 points, compares it with the density, and then obtains the uniformity distribution law of construction quality based on image. By calibrating the thickness of the road surface, the effective detection of road diseases can be realized, and the theoretical basis and practical application conditions of GPR technology can be clarified.

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Chen, Wei, Guiling Hu, Wenyang Han, et al. "Research on the Quality of Asphalt Pavement Construction Based on Nondestructive Testing Technology." Coatings 12, no. 3 (2022): 379. http://dx.doi.org/10.3390/coatings12030379.

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In order to better evaluate the construction quality of asphalt pavement, nondestructive testing techniques are used to inspect newly paved asphalt mixture pavement. The proposed system for the evaluation of asphalt pavement construction quality uses three-dimensional ground-penetrating radar (GPR) and a non-nuclear density gauge. The GPR and the non-nuclear density gauge test results were used to establish a dielectric constant–porosity model by fitting. This approach can more accurately determine the dielectric constant selection scheme of the GPR based on the average value of every 10 diele

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Ling, Jianyu, Rongyi Qian, Ke Shang, Linyan Guo, Yu Zhao, and Dongyi Liu. "Research on the Dynamic Monitoring Technology of Road Subgrades with Time-Lapse Full-Coverage 3D Ground Penetrating Radar (GPR)." Remote Sensing 14, no. 7 (2022): 1593. http://dx.doi.org/10.3390/rs14071593.

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Road safety is important for the rapid development of the economy and society. Thus, it is of great significance to monitor the dynamic changing processes of road diseases, such as cavities, to provide a basis for the daily maintenance of roads and prevent any possible car accidents. The ground penetrating radar (GPR) technology is widely used in road disease detection due to its advantages of nondestructiveness, rapidness, and high resolution. Traditionally, one-time 2D GPR detection cannot obtain the 3D spatial changes of subgrades. Thus, we developed a road subgrade monitoring method based

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Zhang, Jing, Bing Han, and Peng Liu. "Application of Radar Technology on Concrete Water Content Testing." Advanced Materials Research 250-253 (May 2011): 3103–6. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.3103.

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This paper presents researches on the technique for testing water content and moisture field in concrete by GPR. Through the experiments, a discussion has been carried out on the variation of velocity of radar waves and the relative dielectric constants in the concrete with different water content. Comparing the results of air drying and drying experiment, an equation is given to reflect the relation between the water content in the concrete and the radar speed of radar waves in the concrete, also the relative dielectric constants of concrete. Some suggestions are proposed for the actual concr

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17

Tian, Sen, and Sixin Liu. "Three Dimension Ground Penetrating Radar and Data Processing for Pavement Collapse Detection." Journal of Physics: Conference Series 2651, no. 1 (2023): 012041. http://dx.doi.org/10.1088/1742-6596/2651/1/012041.

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Abstract Ground-penetrating radar (GPR) is a non-destructive testing exploration technology with the advantages of high efficiency and high resolution, and is widely used in roadbed detection and disease detection. With the increasing demand for road detection, traditional handheld two-dimensional GPR detection instruments can no longer meet the normal urban road detection requirements. Therefore, new efficient vehicle-mounted three-dimensional GPR systems have emerged and been put into use. This article mainly introduces some three-dimensional GPR instruments and systems that have been put in

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Zhou, Ligang, Dongsheng Yu, Zhaoyan Wang, and Xiangdong Wang. "Soil Water Content Estimation Using High-Frequency Ground Penetrating Radar." Water 11, no. 5 (2019): 1036. http://dx.doi.org/10.3390/w11051036.

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The rapid high-precision and nondestructive determination of shallow soil water content (SWC) is of vital importance to precision agriculture and water resource management. However, the low-frequency ground penetrating radar (GPR) technology currently in use is insufficient for precisely determining the shallow SWC. Therefore, it is essential to develop and use a high-precision detection technology to determine SWC. In this paper, a laboratory study was conducted to evaluate the use of a high-frequency GPR antenna to determine the SWC of loamy sand, clay, and silty loam. We collected soil samp

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Peng, Tu You, and Yang Zhao. "CUDA-Based Parallel Prewitt Algorithm Implementation and its Application on GPR." Applied Mechanics and Materials 380-384 (August 2013): 4002–6. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4002.

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The edge of image is one of the important features of the image, edge detection is an important means to extract image features. As the most popular high-performance processing technology, GPU parallel technology is on of the best choices for parallel Prewitt algorithm implementation. Since conventional Prewitt algorithm based upon CPU is computationally intensive, time-consuming, its application is very restricted. In order to improve the efficiency of Prewitt algorithm, CUDA-based parallel Prewitt algorithm and fast imaging algorithm are applied to get higher speedup. Finally, an effective m

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Samuelsson, Oscar, Anders Björk, Jesús Zambrano, and Bengt Carlsson. "Gaussian process regression for monitoring and fault detection of wastewater treatment processes." Water Science and Technology 75, no. 12 (2017): 2952–63. http://dx.doi.org/10.2166/wst.2017.162.

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Monitoring and fault detection methods are increasingly important to achieve a robust and resource efficient operation of wastewater treatment plants (WWTPs). The purpose of this paper was to evaluate a promising machine learning method, Gaussian process regression (GPR), for WWTP monitoring applications. We evaluated GPR at two WWTP monitoring problems: estimate missing data in a flow rate signal (simulated data), and detect a drift in an ammonium sensor (real data). We showed that GPR with the standard estimation method, maximum likelihood estimation (GPR-MLE), suffered from local optima dur

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Hou, Feifei, Xiyue Rui, Xinyu Fan, and Hang Zhang. "Review of GPR Activities in Civil Infrastructures: Data Analysis and Applications." Remote Sensing 14, no. 23 (2022): 5972. http://dx.doi.org/10.3390/rs14235972.

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Ground penetration radar (GPR) technology has received in-depth analysis and rapid development in the field of civil engineering. GPR data analysis is one of the basic and challenging problems in this field. This research aims to conduct a comprehensive survey of the progress from 2015 to the present in GPR scanning tasks. More than 130 major publications are cited in this research covering different aspects of the research, including advanced data processing methods and a wide variety of applications. First, it briefly introduces the data collection of the GPR system and discusses the signal

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Zhou, Zhijun, and Yongxing Cui. "A Case Study on Detection of Cavity in Urban Roads Using 3D Ground Penetrating Radar." Journal of Physics: Conference Series 2651, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1742-6596/2651/1/012022.

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Abstract In recent years, urban roads collapse accidents often occur, which seriously threatens the safety of people’s lives and property and the order of urban operation, and has a huge social impact. Therefore, it is very necessary to carry out road cavity detection and eliminate the hidden dangers of road operation safety. Three dimensional ground penetrating radar (GPR) technology is a new technology developed in recent years. At present, it has been widely used in road detection. This paper briefly introduces the process of urban roads detection using 3D GPR, and introduces an example of

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Alsharahi, Gamil, Ahmed Faize, Carmen Maftei, and Abdellah Driouach. "GPR Application for Risks Detection in Subsurface Engineering Construction Projects." Ovidius University Annals of Constanta - Series Civil Engineering 21, no. 1 (2019): 51–58. http://dx.doi.org/10.2478/ouacsce-2019-0006.

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Abstract The aim of this work is to study and explore the causes of the landslide in different locations using Ground Penetrating Radar (GPR) technology. GPR uses the electromagnetic method related the high-frequency pulse that used widely in various field. The experimental study focused on the investigation of the landslide in the road by GPR method with antenna 200 MHz. The landslides become serious problems and required various technique and methods to investigate it in several places. GPR measurements present a useful technique for studies and investigation of the problem. The GPR can be c

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Shapovalov, Vladimir, Andrey Vasilchenko, Victor Yavna, Andrei Kochur, and Maksim Okost. "Ground-Penetrating Radar Method for Studying Water Drainage in Sand Layers." Fluids 7, no. 12 (2022): 379. http://dx.doi.org/10.3390/fluids7120379.

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A ground-penetrating radar (GPR) technology was developed to study the process of water drainage in sand layers with an insignificant concentration of dusty and clayey particles when moistened from above. The technology includes a method of calibration of the GPR equipment, algorithms for processing the GPR information, and their software implementation. The technology was used to process the results of laboratory GPR measurements obtained during draining of water through sand layers from different quarries for 100 h. The absolute values and the changes in the refractive index and specific con

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Fang, Liang, Feng Yang, Maoxuan Xu, and Fengyu Liu. "Research on Development 3D Ground Penetrating Radar Acquisition and Control Technology for Road Underground Diseases with Dual-Band Antenna Arrays." Sensors 23, no. 19 (2023): 8301. http://dx.doi.org/10.3390/s23198301.

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This paper describes the development of a new 3D ground-penetrating radar (GPR) acquisition and control technology for road underground diseases with dual-band antenna arrays. The 3D GPR system can be mounted on a vehicle-loading device and used by vehicles to detect road underground diseases at regular speeds. Compared with existing 3D GPR systems, this new type of 3D GPR has the following design features: it has dual-band antenna arrays, including a 16-channel 400 MHz antenna array and an 8-channel 200 MHz antenna array, which not only improves the detection efficiency, but also effectively

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Chen, Zhen Fu, Zhong You Wang, and Jun Liu. "Structural Damage Identification by Detection Medium Technology." Applied Mechanics and Materials 401-403 (September 2013): 1493–98. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1493.

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There are two conventional techniques i.e. the approach based on structural testing and non-damaged detecting method, of which the former is partial to structural integrity analysis while the latter focuses on partial detection. The damage identification approach is discussed from the perspective of detection medium in the paper. And non-destructive testing in civil engineering (NDT-CE), of which the research status and existing issues are presented, can be attributed into three categories as following: one is based on the stress wave theory, such as impact-echo method, acoustic emission techn

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Ocaña-Levario, Silvia J., David Ayala-Cabrera, Joaquín Izquierdo, and Rafael Pérez-García. "3D model evolution of a leak based on GPR image interpretation." Water Supply 15, no. 6 (2015): 1312–19. http://dx.doi.org/10.2166/ws.2015.093.

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This paper presents some aspects of the time propagation of underground water leakage in controlled laboratory conditions using a drilled polyvinyl chloride (PVC) pipe and interpreting ground penetrating radar (GPR) images. GPR pre-processed images are interpreted for easy identification and extraction of surfaces and volumes of water leakage. Finally, the temporal evolution of a water leak is shown using 3D models based on interpretation of GPR images. Water volumes obtained using this approach can be easily observed by personnel who lack highly specialized training in the analysis of raw dat

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Wang, Fang, Shao Hui He, Jun Liu, and Fa Lin Qi. "Application of Ground Penetrating Radar for Quality Detection of Tunnel Lining." Advanced Materials Research 503-504 (April 2012): 1655–59. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1655.

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The Golmud-Lhasa section of Qinghai-Tibet railway is located in the plateau and permafrost region which tunnel lining produces serious diseases in the extremely bad environment. This paper states the application of Ground Penetrating Radar (GPR) for quality detection of tunnel lining and how to choose parameters, sit detection lines, analyze GPR cross section and classify lining diseases in filed investigation. The results suggest that non-destructive testing technology of GPR can be used to detect the tunnel lining diseases mainly including second lining thickness, cavities and backfilling im

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Sudakova, Maria, Eugenia Terentieva, Alexey Kalashnikov, Ivan Seregin, and Alexey Yaroslavtsev. "Diurnal Monitoring of Moisture Content of Scots Pine and Small-Leaved Lime Trunks Using Ground Penetrating Radar (GPR) and Increment Cores." Forests 14, no. 2 (2023): 406. http://dx.doi.org/10.3390/f14020406.

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Ground penetrating radar is non-invasive technology suitable for mapping moisture content variations since it shows high sensitivity to changes in water saturation. In this work we used a GPR tomography approach to estimate moisture content within two small-leaved lime (Tilia cordata) and two Scots pine (Pinus sylvestris) trunks. Additional information was derived using the method of GPR zero-offset. GPR data was collected in Moscow (diurnal monitoring in September 2021) using a shielded GPR antenna working at 1500 MHz. Moisture values derived from GPR data were compared with the values obtain

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Wahab, S. W., D. N. Chapman, C. D. F. Rogers, et al. "ASSESSING THE CONDITION OF BURIED PIPE USING GROUND PENETRATING RADAR (GPR)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W9 (October 26, 2018): 77–81. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w9-77-2018.

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<p><strong>Abstract.</strong> The invention of Ground Penetrating Radar (GPR) technology has facilitated the possibility of detecting buried utilities and has been used primarily in civil engineering for detecting structural defects, such as voids and cavities in road pavements, slabs and bridge decks, but has not been used to assess the condition of buried pipes. Pipe deterioration can be defined as pipes where, for example, cracking, differential deflection, missing bricks, collapses, holes, fractures and corrosion exists. Assessing the deterioration of underground pipes is

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Özkap, Kerem, Ertan Pekşen, İsmail Kaplanvural, and Deniz Çaka. "3D scanner technology implementation to numerical modeling of GPR." Journal of Applied Geophysics 179 (August 2020): 104086. http://dx.doi.org/10.1016/j.jappgeo.2020.104086.

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Zhao, Wen-Ke, Gang Tian, Bang-Bing Wang, Zhan-Jie Shi, and Jin-Xin Lin. "Application of 3D GPR attribute technology in archaeological investigations." Applied Geophysics 9, no. 3 (2012): 261–69. http://dx.doi.org/10.1007/s11770-012-0336-2.

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Abhishek, Rangole, De Sampurna, Kuchekar Nilesh, and A. Bazil Raj A. "A Comprehensive Review of Ground Penetrating Radar: Techniques, Applications and Future Directions." International Journal of Engineering Research and Reviews 12, no. 3 (2024): 30–53. https://doi.org/10.5281/zenodo.13842586.

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<strong>Abstract:</strong> Ground Penetrating Radar (GPR) technology has facilitated growth and research in multiple fields. It is a non-invasive method used for sub-surface exploration. GPR systems operate on the principles of Radar Systems, providing large operational flexibility. Archaeology, geophysics, civil engineering, environmental studies and military sectors see a large use of GPR systems. The review paper provides a comprehensive study about the developmental stages of modern GPR systems, GPR system types, applications of GPR systems, existing GPR methodologies and specification ana

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Meng, Mei Li, Ying Chun Cai, and Bei Zhang. "System Identification Applications in Pavement Permittivity Back-Calculation." Applied Mechanics and Materials 238 (November 2012): 366–70. http://dx.doi.org/10.4028/www.scientific.net/amm.238.366.

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The Ground Penetrating Radar (GPR) has been widely used in the road quality control of construction, maintenance management and deterioration investigation for its rapid, nondestructive and high efficient advantages. Whereas, the pavement layer thickness accuracy measured by GPR is not satisfied under any conditions, and the coring calibration must be done. Based on System Identification (SI) theory, sensitivity analysis method and the singular value decomposition of matrix technology, an inverse method is presented to back-calculate pavement permittivity and analyze layer thickness used the G

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Zhang, Derival, Albrecht, and Ampatzidis. "Evaluation of a Ground Penetrating Radar to Map the Root Architecture of HLB-infected Citrus Trees." Agronomy 9, no. 7 (2019): 354. http://dx.doi.org/10.3390/agronomy9070354.

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This paper investigates the influences of several limiting factors on the performance of ground penetrating radar (GPR) in accurately detecting huanglongbing (HLB)-infected citrus roots and determining their main structural characteristics. First, single-factor experiments were conducted to evaluate GPR performance. The factors that were evaluated were (i) root diameter; (ii) root moisture level; (iii) root depth; (iv) root spacing; (v) survey angle; and, (vi) soil moisture level. Second, two multi-factor field experiments were conducted to evaluate the performance of the GPR in complex orchar

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Smogavec, Primož, Blaž Pongrac, Andrej Sarjaš, Venceslav Kafedziski, Nabojša Dončov, and Dušan Gleich. "Comparative Study of GPR Acquisition Methods for Shallow Buried Object Detection." Remote Sensing 16, no. 21 (2024): 3931. http://dx.doi.org/10.3390/rs16213931.

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This paper investigates the use of ground-penetrating radar (GPR) technology for detecting shallow buried objects, utilizing an air-coupled stepped frequency continuous wave (SFCW) radar system that operates within a 2 GHz bandwidth starting at 500 MHz. Different GPR data acquisition methods for air-coupled systems are compared, specifically down-looking, side-looking, and circular acquisition strategies, employing the back projection algorithm to provide focusing of the acquired GPR data. Experimental results showed that the GPR can penetrate up to 0.6 m below the surface in a down-looking mo

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Shan Huang, Shan, Jun Chao Wang, Dan Dan Cheng, et al. "Tunnel Quality Inspection Based on GPR and Machine Learning." Journal of Physics: Conference Series 2887, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2887/1/012001.

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Abstract The development of non-destructive testing, particularly ground penetrating radar (GPR) technology, has gained popularity in underground detection due to its high resolution and non-destructive capabilities. However, the lack of intuitive imaging methods in GPR data analysis leads to poor interpretability, requiring skilled interpreters. To address this, the article suggests a machine learning-based algorithm for tunnel defect detection using GPR data. The YOLOv5 model network is used to train GPR data from actual road and railway tunnel inspections, and a CBAM attention mechanism is

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Church, Gregory, Melchior Grab, Cédric Schmelzbach, Andreas Bauder, and Hansruedi Maurer. "Monitoring the seasonal changes of an englacial conduit network using repeated ground-penetrating radar measurements." Cryosphere 14, no. 10 (2020): 3269–86. http://dx.doi.org/10.5194/tc-14-3269-2020.

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Abstract. Englacial conduits act as water pathways to feed surface meltwater into the subglacial drainage system. A change of meltwater into the subglacial drainage system can alter the glacier's dynamics. Between 2012 and 2019, repeated 25 MHz ground-penetrating radar (GPR) surveys were carried out over an active englacial conduit network within the ablation area of the temperate Rhonegletscher, Switzerland. In 2012, 2016, and 2017 GPR measurements were carried out only once a year, and an englacial conduit was detected in 2017. In 2018 and 2019 the repetition survey rate was increased to mon

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Coli, Massimo, Anna Livia Ciuffreda, Emanuele Marchetti, Davide Morandi, Giammarco Luceretti, and Zeno Lippi. "3D HBIM Model and Full Contactless GPR Tomography: An Experimental Application on the Historic Walls That Support Giotto’s Mural Paintings, Santa Croce Basilica, Florence—Italy." Heritage 5, no. 3 (2022): 2534–46. http://dx.doi.org/10.3390/heritage5030132.

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GPR (Ground Penetrating Radar) is a technology widely applied today in the field of non-destructive investigations. From its first applications, the field of use has involved environmental and archaeological contexts and, only recently, non-destructive investigations for the diagnostics of existing buildings, including historical ones. In the latter, the GPR is, in particular, addressed to the NDT diagnostics of walls, which often support paintings of considerable value. In this study, GPR technology was used to investigate the walls of the Bardi Chapel in the Santa Croce Basilica in Florence,

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Wang, Siqi, Shan Zhao, and Imad L. Al-Qadi. "Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (2019): 329–38. http://dx.doi.org/10.1177/0361198119841038.

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Accurate real-time density monitoring is crucial in quality control and quality assurance during the asphalt concrete (AC) pavement construction process. Ground penetrating radar (GPR) technology has shown great potential in the continuous real-time density prediction of AC pavement. However, it is not accepted as a routine method by transportation agencies in the United States due to the lack of validation under field testing conditions. In this study, three field tests were performed using GPR to estimate AC pavement density. The Al-Qadi-Lahouar-Leng model was used to predict the density fro

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Bai, Xu, Yu Yang, Shouming Wei, et al. "A Comprehensive Review of Conventional and Deep Learning Approaches for Ground-Penetrating Radar Detection of Raw Data." Applied Sciences 13, no. 13 (2023): 7992. http://dx.doi.org/10.3390/app13137992.

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Ground-penetrating radar (GPR) is a nondestructive testing technology that is widely applied in infrastructure maintenance, archaeological research, military operations, and other geological studies. A crucial step in GPR data processing is the detection and classification of underground structures and buried objects, including reinforcement bars, landmines, pipelines, bedrock, and underground cavities. With the development of machine learning algorithms, traditional methods such as SVM, K-NN, ANN, and HMM, as well as deep learning algorithms, have gradually been incorporated into A-scan, B-sc

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Frid, Michael, and Vladimir Frid. "Vital Views into Drone-Based GPR Application: Precise Mapping of Soil-to-Rock Boundaries and Ground Water Level for Foundation Engineering and Site-Specific Response." Applied Sciences 14, no. 17 (2024): 7889. http://dx.doi.org/10.3390/app14177889.

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The primary objective of this case study is to evaluate the effectiveness of drone-based ground penetrating radar (GPR) in detecting and mapping underground water levels and soil-to-rock boundaries. This knowledge is crucial for accurate structural engineering analyses, including foundation engineering and site-specific response evaluations. The paper also considers drone-based GPR to overcome common urban obstacles, topographic variations, and environmental factors by simply flying over them, offering a promising solution to these challenges. The research utilized drone-based GPR equipped wit

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Wang, Qing, Yisheng Chen, Yupeng Shen, and Meng Li. "Construction Environment Noise Suppression of Ground-Penetrating Radar Signals Based on an RG-DMSA Neural Network." Electronics 13, no. 14 (2024): 2843. http://dx.doi.org/10.3390/electronics13142843.

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Ground-penetrating radar (GPR) is often used to detect targets in a construction environment. Due to the different construction environments, the noise exhibits different characteristics on the GPR signal. When the noise is widely distributed on the GPR signal, and its spectrum and the spectrum of the active signal are aliased, it is difficult to separate and suppress the noise by traditional filtering methods. In this paper, we propose a deep learning GPR image noise suppression method based on a recursive guided and dual multi-scale self-attention mechanism neural network (RG-DMSA-NN), which

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Qin, Yao, and Qi Fu Wang. "Ground Penetrating Radar Imaging Based on FDTD Migration Method." Advanced Materials Research 490-495 (March 2012): 1261–64. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1261.

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Estimation the shape and position of the objects is an important subject in ground penetrating radar(GPR). Migration method is popular used in seismic wave detection technology to locate and reshape the objects. Finite difference time domain(FDTD) migration method is widely used not only because the iterative method can save the computer memory but also because it is sensitive with different horizontal velocity and vertical velocity of electromagnetic wave. In this paper, migration imaging principle is been introduced at first, then FDTD migration method is been discussed. By dealing with GPR

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Huang, Qingqiao, Liushuang Meng, and Bin Wang. "Does Geopolitics Affect the Development of China’s 5G Industry?" Journal of Economics and Public Finance 9, no. 4 (2023): p17. http://dx.doi.org/10.22158/jepf.v9n4p17.

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The field of sci-tech innovation, especially the field of emerging technologies, has become an important battlefield in today’s geopolitics. Given the unprecedented economic benefits and social changes that 5G technology can bring, 5G has become a major focus of great power competition. This paper uses the bootstrap-rolling-window-causality-test method to investigate the dynamic causal relationship between global geopolitical risk (GPR) and China’s 5G industry. The results show that there is a dynamic bidirectional Granger causality between GPR and China’s 5G industry with time-varying charact

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Al shamy, Hussain Mumtaiz, Jafar W. Abdul Sadah, and Thamir R. Saeed. "Different techniques in detection of buried objects using ground-penetrating radar: A review." Al-Qadisiyah Journal for Engineering Sciences 14, no. 4 (2022): 232–40. http://dx.doi.org/10.30772/qjes.v14i4.783.

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This literature reviews the work of researchers on ground-penetrating radar (GPR). This research consists of five sections starting from the first section that focuses on the general application and the advantage of the GPR system in comparison to other types of underground detection systems. The main function of the GPR system is to detect the object buried underground and at the end of the full scan, the output image represents the total signals detected by the receiver of the GPR device. One of the main applications of the GPR system is the detection of an underground object, the GPR

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Kazarin, O. B., B. O. Kazarin, D. Ye Husiev, H. P. Pastushkov, V. Г. Pastushkov, and D. V. Zhykharev. "The practice of using GPR technology in the examination tunnel." Science and Transport Progress, no. 21 (April 25, 2008): 113–16. http://dx.doi.org/10.15802/stp2008/16294.

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Abdelmawla, Ahmad, and S. Sonny Kim. "Application of Ground Penetrating Radar to Estimate Subgrade Soil Density." Infrastructures 5, no. 2 (2020): 12. http://dx.doi.org/10.3390/infrastructures5020012.

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Ground penetrating radar (GPR) technology has been widely used in pavement assessment over the last decade. Assessing the subgrade condition and monitoring its temporal variation provide valuable information regarding changes associated with pavement deterioration, allowing for the beneficial prediction of future road maintenance. This paper presents a method to estimate the density and water content of prepared subgrade soils of highly plastic silt using a 2 GHz GPR scan system and a simple exponential model. A bulk density prediction model was developed based on electromagnetic mixing theory

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Feng, Deshan, Yuxin Liu, Bin Zhang, and Xun Wang. "Special Issue on Ground Penetrating Radar: Theory, Methods, and Applications." Applied Sciences 13, no. 17 (2023): 9847. http://dx.doi.org/10.3390/app13179847.

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Li, Hongjie, Xiaopeng Yang, and Tian Lanl. "Full-waveform Inversion of Noisy GPR Data in Frequency Domain Based on Quasi-Newtonian Algorithm." Journal of Physics: Conference Series 2895, no. 1 (2024): 012036. https://doi.org/10.1088/1742-6596/2895/1/012036.

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Abstract Ground penetrating radar (GPR) is a non-destructive detection technology. Full-waveform inversion (FWI) of GPR data promise for the quantitative characterization of the earth’s shallow subsurface parameters, which is useful for the interpretation and subsurface mapping. In this paper, we present a full-waveform inversion target imaging framework for GPR. In the method, the singular value decomposition (SVD) and least squares (LS) methods are used to denoise the measured scattering field. Secondly, the contrast source inversion (CSI) method is improved by introducing the quasi-Newtonia

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