{"title":"Mapping paleochannels in the Libyan Sahara with ground penetrating radar","authors":"J. Francke","doi":"10.1109/ICGPR.2016.7572655","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572655","url":null,"abstract":"It has been well documented that the Sahara Desert experienced a number of humid periods during the late Quaternary, which resulted in the development of substantial lakes and fluvial networks. Today, the region is known for its hyper-arid conditions, with few isolated oases and no sizable surface drainage system. The remnants of these palaeochannels are now buried beneath the dunefields of the contemporary desert. However, their presence as potential groundwater migration pathways are of importance in understanding the palaeohydrological history of the Sahara, as well potential sources to tap for desert irrigation projects. Conventional means of locating these buried channels have used accurate terrain models to map contemporary seasonal drainage networks (wadis), or satellite-borne radar to penetrate a few meters beneath the sand sheet. An alternative approach is through the use of ground-based geophysics employing a deep-profiling ground penetrating radar technology. A survey over a 15 km × 18 km gravel plain in the Wädi al-Hayät in the Libyan Sahara reveals that ground radar technology can map buried channels rapidly and cost-effectively, given suitable ground conditions.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"3 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123482172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Wada, S. Karasawa, K. Kawata, T. Ueki, S. Ebihara
{"title":"Foundation pile and cavity detection by the 3D directional borehole radar system, ReflexTracker","authors":"K. Wada, S. Karasawa, K. Kawata, T. Ueki, S. Ebihara","doi":"10.1109/ICGPR.2016.7572652","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572652","url":null,"abstract":"In order to evaluate our developing 3D directional borehole radar system, ReflexTracker®, we carried out experimental studies on its capability to detect foundation piles in poor subsoil in the Tokyo area, and cavities beside a housing complex in Aichi Prefecture, central Japan. To evaluate foundation pile detectability, we took omnidirectional and directional borehole radar measurements in two boreholes (vertical and tilted at 60 degrees) near known concrete piles. We utilized existing drawings and specifications that well described the piles at the site in terms of their materials, structures, locations, and depths, and conducted GPR and vertical differential magnetic surveys to confirm the exact locations of the pile heads. The measurements were successfully taken for both boreholes. The estimated 3D locations of the reflected points were in good agreement with the known pile locations, with an accuracy of 0.14 to 0.20 m from the pile for measurements with the vertical and the titled boreholes, respectively. For the cavity detectability evaluation, we collected core samples to check geological conditions and existing cavities estimated by drilling operations and N-values by SPT. The directional borehole radar measurements showed several significant reflected phases in a radargram and revealed the existence of the cavities corresponding to the drilling results obtained from 3D reflected points. As a result of the two experimental studies for foundation piles and cavity detectability of the ReflexTracker, we concluded that the system could be applied to civil engineering issues in poor subsoil ground.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128130609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Kang, C. Kim, J. H. Kim, S. Park, S. J. Cho, J. Son, K. W. Kim
{"title":"A study of antenna configuration for bistatic ground-penetrating radar","authors":"W. Kang, C. Kim, J. H. Kim, S. Park, S. J. Cho, J. Son, K. W. Kim","doi":"10.1109/ICGPR.2016.7572697","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572697","url":null,"abstract":"Recently, a public attention to ground subsidence due to the subsurface cavities in the urban area is growing. To prevent such catastrophe, a ground-penetrating radar (GPR) technique is being widely used to image and detect roadbed cavities. In this paper, properties in timedomain of antenna configurations are investigated to construct a bistatc GPR system. The system is categorized into two types: broadside and endfire, according to the antenna orientation. For each system, GPR signals scattered from spheric subsurface cavity model are compared and analyzed in the time domain. Then, for better energy penetration into the ground, impedance matching medium put below the antenna is studied. Considering the numerical results, the system that can provide a maximum level of signals scattered from the radar target of interest is determined. This study would help to give an insight into how a multi-channel antenna system is built to detect roadbed cavities in the urban area.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116577419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of GPR in anisotropic medium by finite element time domain method","authors":"H. Wang, M. Wang, H. Liu","doi":"10.1109/ICGPR.2016.7572685","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572685","url":null,"abstract":"A two-dimensional finite element time domain (FETD) algorithm for simulation of ground penetrating radar (GPR) on an anisotropic medium with conductive loss is described. In this algorithm, the finite element method is used to discretize computational area by using the unstructured Delaunay mesh and Newmark difference method for time discretization. The anisotropy of the medium is modeled be orthorhombic symmetry and expressed as the permittivity and conductivity tensors of different propagation directions. The convergence property of our algorithm is verified by comparing it with the analytical solutions of homogenous isotropic and anisotropic media. The influence of material anisotropy to phase velocity and attenuation coefficient of electromagnetic waves are analyzed by comparison with snapshots of homogeneous isotropic and anisotropic media. A model consisting of a cylinder target embedded in an anisotropic medium is further tested to understand the propagation characteristics of the reflected wave. The results demonstrate that material anisotropy can cause significant amplitude and phase velocity distortions. The proposed FETD algorithm for anisotropic medium can be applied to calculate anisotropic GPR problems with high accuracy.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131472541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fracture characterization with GPR: A comparative study","authors":"D. Arosio, J. Deparis, L. Zanzi, S. Garambois","doi":"10.1109/ICGPR.2016.7572679","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572679","url":null,"abstract":"Provided that the frequency of the GPR antenna is properly selected, detecting rock fractures is generally an achievable task because most of the investigated rocks are resistive. On the other hand, fractures can be generally envisaged as thin-beds embedded in a homogenous rock formation, thus yielding a complex reflection pattern caused by the reverberation of the GPR signal back and forth within the bed. As a result, dedicated approaches must be developed in order to extract quantitative information about fracture properties, i.e. thickness and permittivity of filling material, encoded in the thin-bed response. This work presents a comparison of two approaches for fracture characterization that we recently tested on synthetic, lab as well as field datasets. Although both approaches rely on amplitude and phase information in the frequency domain, their strategies significantly differ. The first one is based on common-offset data and involves deterministic deconvolution, while the second one processes common-midpoint reflections according to an amplitude-and-phase-variation-with-offset inversion. We test the performance of both approaches on a lab specimen scanned with high frequency antennas. Our aim is to identify shortcomings and advantages of the tested approaches, and to evaluate their outcomes according to the needs of possible field applications, in terms of acquisition time and accuracy.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"106 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130054928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-frequency GPR data fusion","authors":"A. De Coster, S. Lambot","doi":"10.1109/ICGPR.2016.7572512","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572512","url":null,"abstract":"Several data fusion approaches have been developed to maximize both resolution and characterization depth for GPR. In this study, we propose a new physically-based method to merge multi-frequency radar data coming from different antennas. The strategy relies on the removal of antenna effects and the subsequent fusion of the resulting Green's functions in the frequency domain. We validated the approach in far-field conditions using two different antennas operating in the ranges 0.8-4.4 GHz and 2.6-6.2 GHz, respectively. We performed radar measurements above a sandbox wherein a number of objects were buried. The physically-based data fusion provided enhanced radargrams due to the broadening of the spectral bandwidth. Future research will focus on near-field conditions, for which the removal of antenna effects should be performed numerically.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131657807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Bechtel, S. Truskavetsky, L. Capineri, G. Pochanin, N. Simić, K. Viatkin, A. Sherstyuk, T. Byndych, P. Falorni, A. Bulletti, P. Giannelli, V. Ruban, L. Varyanitza-Roschupkina, M. Bechtel
{"title":"A survey of electromagnetic characteristics of soils in the Donbass region (Ukraine) for evaluation of the applicability of GPR and MD for landmine detection","authors":"T. Bechtel, S. Truskavetsky, L. Capineri, G. Pochanin, N. Simić, K. Viatkin, A. Sherstyuk, T. Byndych, P. Falorni, A. Bulletti, P. Giannelli, V. Ruban, L. Varyanitza-Roschupkina, M. Bechtel","doi":"10.1109/ICGPR.2016.7572688","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572688","url":null,"abstract":"In order to design holographic and impulse GPRs, as well as metal detector (MD) sensors for humanitarian demining in the Donbass conflict zone, we have compiled a listing of the AP and AT mines that have been confirmed in use in Donbass, and their dimensions and construction. Just as importantly, we have attempted, from existing literature (since it is an active war zone), to characterize the specific soils in this region in order to understand the physical property contrasts between mine casings/components and the soils in which they may be buried, as well as the propagation characteristics of radar signals in these soils. We conclude that MD should be generally effective for locating Donbass mines, and GPRs operating near the frequency of 2GHz should provide sufficient penetration for detection and, simultaneously, sufficient resolution to assist with discrimination of mines from clutter. As is common in GPR applications, the main limiting factor may be soil moisture content, so operations may be restricted to dry periods or seasons. Field measurements are scheduled to confirm the values from the literature.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127872877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A step towards quantitative target analysis for GPR","authors":"A. P. Annan, N. Diamanti","doi":"10.1109/ICGPR.2016.7572643","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572643","url":null,"abstract":"Ground penetrating radar (GPR) has been employed as an effective means for mapping features buried in the ground or in man-made structures for several decades. The content of a typical GPR reflection profile is graphically displayed showing the signal amplitude versus space and time after signal emission. The position and travel time information of features are then used to characterize target spatial position and depth. We refer to this as `qualitative' analysis, which depends heavily on the human visual interaction with the data. There is a wealth of information in the GPR signal vector fields which is seldom used. Quantitative analysis entails using the amplitude information for more than just a visual selection of target presence. In this paper, we postulate a model similar to the radar range equation approach that can help with simple performance prediction and automated data reduction to material and target parameters. We illustrate the use of three-dimensional (3D) numerical modelling to ascertain the reliability of simplifying assumptions and develop simple models to characterize targets. This approach holds the promise of enabling quantitative data analysis without resorting to complex numerical modelling.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125145280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D GPR imaging of shallow plastic pipes, tree roots, and small objects","authors":"M. Grasmueck, A. Novo","doi":"10.1109/ICGPR.2016.7572671","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572671","url":null,"abstract":"Obtaining high quality and easy to interpret horizontal slices of the shallow subsurface depends on how a 3D ground penetrating radar (GPR) survey is acquired and processed. A field site containing three basic target geometries of linear pipes, curvilinear roots, and small objects serves as a testbed. High-density 250 and 500 MHz single channel GPR surveys covering 250m2 were acquired to evaluate 3D GPR imaging parameters. The results show: 1) a uniform trace density of a quarter wavelength is necessary to image all three target geometries; 2) positioning precision has to be better than half the trace spacing to avoid horizontal jitter; 3) 500 MHz offers a good compromise between dense trace spacing and image resolution; and 4) 3D migration processing focuses diffractions in exact target locations. Sparse 3D GPR only images linear targets parallel to the antenna polarization. Curvilinear and point targets are missed. The findings also apply to multichannel array systems for high quality and efficient 3D GPR imaging of large field sites.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114430876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Persico, L. Matera, S. D’Amico, R. Borg, P. Galea
{"title":"Integrated GPR and passive seismic investigations at cultural heritage sites: Case studies in Malta","authors":"R. Persico, L. Matera, S. D’Amico, R. Borg, P. Galea","doi":"10.1109/ICGPR.2016.7572608","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572608","url":null,"abstract":"In this paper we report results from an integrated measurement campaign performed on the island of Malta. Both GPR and seismic noise data were gathered in two sites close to the sea, where two watchtowers built by the Order of St. John are located. The two investigations were performed on the top of the cliff inGolden Bay, close to the Ghajn Tuffieha Tower, and at the Madliena Tower in Pembroke. The main goal of the survey was to investigate the possible presence of natural or man-made elements that might affect the preservation of these monuments in the future. The investigations were therefore both on the two historical buildings and on a portion of soil nearby to also check the geological stability of the cliff since the towers are located right on its edge. The measurements were carried out with an innovative stepped frequency GPR system and with passive seismic instrumentation. In the following the main achievements will be presented.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"32 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121153266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}