2012 14th International Conference on Ground Penetrating Radar (GPR)最新文献_第2页

Infuence of GPR measurement conditions on depth penetration and resolution of radar images illustrating lowland valley alluvial fill (field experiment) 探地雷达测量条件对低地河谷冲积体雷达图像深度及分辨率的影响(野外试验)

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254953

M. Słowik

{"title":"Infuence of GPR measurement conditions on depth penetration and resolution of radar images illustrating lowland valley alluvial fill (field experiment)","authors":"M. Słowik","doi":"10.1109/ICGPR.2012.6254953","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254953","url":null,"abstract":"There are many studies referring to the analysis of floodplain architecture using GPR (ground-penetrating radar). However, the geophysical surveys are usually conducted at a single set of land surface and groundwater level conditions. The main question is whether an optimal set of such conditions resulting in optimal (highest possible) resolution and depth range can be determined? A field experiment, based on the GPR surveys conducted at various groundwater levels and parameter settings, was carried out to study their influence on depth range and resolution of the GPR surveys. The test was conducted in the lower course of the Obra River (western Poland). Three sets of the GPR measurement were done: at low groundwater level, at the groundwater level situated close to the land surface and when the surface of the floodplain was inundated and frozen. The results indicated significant differences in the depth range and resolution of particular surveys. The GPR images from the survey conducted on the frozen floodplain were featured with a low depth range in comparison with the remaining experimental measurement. Despite the smooth surface of the frozen floodplain that seemed suitable for the geophysical surveys, the images were obscured by numerous diffractions originating from a layer of water underlying the ice cover. The presented results are the first step to create an atlas of georadar images illustrating various depositional environments. The research showed that such database should consist of GPR images illustrating given sedimentary environment by at least three different sets of hydrogeologic conditions and parameter settings.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137579","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}

引用次数: 1

Investigation of the Lena river ice cover by GPR from helicopter 直升机探地雷达对勒拿河冰盖的调查

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254958

M. Fedorov, L. Fedorova, A. Omelyanenko

引用次数: 4

What is the true time range of a GPR system? 探地雷达系统的真实时间范围是什么?

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254905

A. Strange, R. Yelf

引用次数: 8

Integrateci modeling of near-field ground-penetrating radar and electromagnetic induction data for reconstructing multilayered media 近场探地雷达和电磁感应数据的集成建模用于多层介质重建

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254900

F. André, A. Tran, N. Mourmeaux, S. Lambot

{"title":"Integrateci modeling of near-field ground-penetrating radar and electromagnetic induction data for reconstructing multilayered media","authors":"F. André, A. Tran, N. Mourmeaux, S. Lambot","doi":"10.1109/ICGPR.2012.6254900","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254900","url":null,"abstract":"We used a new integrated modeling procedure for analyzing near-field ground-penetrating radar (GPR) and electromagnetic induction (EMI) data for reconstructing the electrical properties of multilayered media. Both GPR and EMI systems are set up using vector network analyzer technology and operate with the antennas on the ground or in near-field conditions. The antennas are modeled using a set of infinitesimal dipoles and characteristic, frequency-dependent, global reflection and transmission coefficients. Wave propagation and diffusion in the medium are described using a set of three-dimensional multilayered media Green's functions. GPR and EMI antennas were calibrated using measurements collected at different heights over water of know electrical conductivity. The GPR and EMI models were then validated for measurements collected over water subject to different salinity levels. The models showed a high degree of accuracy for reproducing the observed data and model inversion provided good estimates of the medium electrical properties, though discrepancies between measured and estimated water electrical conductivity values were observed in some cases due to a lack of sensitivity. The proposed approach is in particular promising for joint analysis of GPR and EMI data in an inverse data fusion framework, especially as the calibration and modeling procedures are identical for both instruments.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192503","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}

引用次数: 4

Simulation and analysis of GPR signal based on stochastic media model 基于随机介质模型的探地雷达信号仿真与分析

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254863

Zimeng Jiang, Z. Zeng, Jing Li, Fengshan Liu, Fengshou Wu

{"title":"Simulation and analysis of GPR signal based on stochastic media model","authors":"Zimeng Jiang, Z. Zeng, Jing Li, Fengshan Liu, Fengshou Wu","doi":"10.1109/ICGPR.2012.6254863","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254863","url":null,"abstract":"The principle of applying Ground penetrating radar (GPR) in target detection is based on the electrical parameters of medium, such as dielectric, conductivity and permeability. Its application mainly concentrates on the detection of medium interface and target shape. In theoretical study, the simulation model is built with homogeneous medium. But the medium is heterogeneous and random distribution in practice. When radar wave propagates in the heterogeneous medium, it will produce scattering and diffraction at electrical interface and makes the radar wave seriously distort, the amplitude of received wave is also changed. It has influence on the resolution and detecting depth. In this paper, we build the stochastic model with normal distribution function and use high order FDTD method to simulate the GPR signal response, then analyze wave characteristics and target response in different random models. The results demonstrate that the random heterogeneous media model could describe the practical detection environment. It has the extensive applicability and lays a foundation for the parameters of medium extraction and data inversion.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115850921","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}

引用次数: 3

The role of ground penetrating radar in bauxite resource evaluations 探地雷达在铝土矿资源评价中的作用

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254909

J. Francke

{"title":"The role of ground penetrating radar in bauxite resource evaluations","authors":"J. Francke","doi":"10.1109/ICGPR.2012.6254909","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254909","url":null,"abstract":"Bauxite, the primary source of aluminum occurs in both silicate (lateritic) and carbonate (karstic) forms throughout the globe. Each type of deposit presents unique challenges to resource evaluations due to the extreme variations in bauxite thickness, and the presence of a variable overburden. Lateritic bauxites, found in the tropics, are formed through a process of residual enrichment of Al2O3 through the dissolution of silicate parent rocks. Traditional resource definition approaches of closely-spaced drilling are costly and time consuming, have a negative environmental impact, and rarely converge on a reliable resource estimate due to the unpredictable nature of the lateritic weathering process. In recent years, GPR has proven to be an ideal complementary tool to map the ore zone at many deposits. Examples are provided demonstrating the technique's viability in a variety of lateritic bauxites, as well as cases where conductive, diffusive or thick overburden has limited GPR's effectiveness. Karstic bauxites (“pocket” deposits), are formed by the accumulation of intercalated clays by dissolution of the parent limestone. Karstic resources often occur within a series of small, steep-sided pits, with minimal surface expression. Examples are provided of GPR data from deposits in Europe and the Caribbean demonstrating GPR's viability and limitations.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134526212","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}

引用次数: 5

Topographic correction of GPR profile based on odometer and inclinometer data 基于里程计和倾角计数据的探地雷达剖面地形校正

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254903

V. Prokhorenko, V. Ivashchuk, S. Korsun, S. Musiyachenko, V. Borodavka

{"title":"Topographic correction of GPR profile based on odometer and inclinometer data","authors":"V. Prokhorenko, V. Ivashchuk, S. Korsun, S. Musiyachenko, V. Borodavka","doi":"10.1109/ICGPR.2012.6254903","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254903","url":null,"abstract":"Usually, data obtained by ground penetrating radar (GPR) are displayed as a rectangular 2D picture (profile), vertical and horizontal axes of which are proportional to depth and traveled distance, respectively. Surface, generally, is not horizontal, that leads to distorted view of irregularities in the GPR profile. To eliminate these distortions a topographic correction is used. Topographic data can be obtained by laser leveler, total station, GPS and similar equipment. Further this information is used for topographic correction of the GPR data. This paper provides method of topographic correction based on information about traveled distance and tilt of antenna unit at each point of measurement. These data are measured by odometer and inclinometer, respectively. The information is obtained simultaneously with the GPR data and is connected with each trace of the profile. Algorithm of traces vertical offset calculation relatively the first trace of profile and accuracy of topographic correction are discussed. The results of topographic correction of profile acquired by VIY3-300 GPR are presented. This inexpensive solution improves performance characteristics of GPR and reduces time required for GPR profiles processing and their interpretation.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132642065","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}

引用次数: 10

Application of GPR surface reflection method for estimating soil water content of bare soil 探地雷达表面反射法在裸地土壤含水量估算中的应用

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254941

Gao Shengguo, Zhu Zhongli, Jiao Qishun, Du Fan

引用次数: 1

To find post holes: Application of GPR prospection to archaeological sites in Japan 寻找桩孔:探地雷达勘探在日本考古遗址中的应用

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254937

A. Kaneda, Y. Nishimura, K. Nishiguchi

引用次数: 1

Testing on depth profile of seawall by using the method of ground penetrating radar 用探地雷达法测试海堤纵深剖面

2012 14th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2012-06-04 DOI: 10.1109/ICGPR.2012.6254968

Pingsong Zhang, Yongsheng Li, Xiongyao Xie

{"title":"Testing on depth profile of seawall by using the method of ground penetrating radar","authors":"Pingsong Zhang, Yongsheng Li, Xiongyao Xie","doi":"10.1109/ICGPR.2012.6254968","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254968","url":null,"abstract":"Testing on the depth profile of dam is an important content in the seawall project of riprap and inning. The ground penetrating radar methods can be used to get effective parameters of the profile. The structure of seawall project includes two parts, namely the primary seawall and the suppression layer of both sides. And being in the field of tide, the suppression layers are soaked by seawater everyday. So the different types of antennas must be selected to collect data of GPR during testing in the primary seawall and the suppression layer. The high-frequency antenna with 50 MHz of the drag type can collect efficiently the data of GPR during testing in the suppression layer. In the detection of the seawall project in Zhejiang, the wave groups in the migration profile of GPR wave through data procession have good continuity and are easy to trace and contrast. According to the actual thickness of riprap through testing in the obligating bore of seawall, the velocity of radar wave can be revised correctly. Then the riprap thicknesses of different points and its filling characteristics in the profile can be judged exactly. Here the effective exploration depth can reach 20 to 30 m. At the same time the section of seismic imaging methods are used to finish comparative analysis. The synthetic results are acquired, and it can offer the reliable technical parameters for the calculation of riprap stone quantity and the future construction of the inning project.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133293948","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}

引用次数: 1