Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441610
F. Di Paolo, B. Cosciotti, S. Lauro, E. Mattei, E. Pettinelli
Ground Penetrating Radar (GPR) surveys on alpine snow enable a rapid evaluation of snow thickness but necessitate a measurement of the wave velocity in the snowpack. Such quantity is often evaluated from density measurements, using the relationships connecting snow permittivity and density present in literature. Unfortunately such equations provide different results and are rarely reported with an associated uncertainty, making the choice between different models pretty difficult. In the present work we compare all the equations with uncertainties (when reported), suggesting which model can be considered as the most reliable in the extraction of the wave velocity from snow density measurements. Such choice has also been corroborated by the analysis of experimental data.
{"title":"Dry snow permittivity evaluation from density: A critical review","authors":"F. Di Paolo, B. Cosciotti, S. Lauro, E. Mattei, E. Pettinelli","doi":"10.1109/ICGPR.2018.8441610","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441610","url":null,"abstract":"Ground Penetrating Radar (GPR) surveys on alpine snow enable a rapid evaluation of snow thickness but necessitate a measurement of the wave velocity in the snowpack. Such quantity is often evaluated from density measurements, using the relationships connecting snow permittivity and density present in literature. Unfortunately such equations provide different results and are rarely reported with an associated uncertainty, making the choice between different models pretty difficult. In the present work we compare all the equations with uncertainties (when reported), suggesting which model can be considered as the most reliable in the extraction of the wave velocity from snow density measurements. Such choice has also been corroborated by the analysis of experimental data.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870506","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441565
Alan Frid, V. Frid
The use of ground-based radar (GPR) to scan the subsurface pavement structure allows to diagnose the road surface, determine the thickness of pavement layers, assess the existence of structural disturbances under the road surface, and so on. Network scale GPR scanning are performed at high speed using an air-coupled (horn) antennae in order to avoid interference with traffic. The requirement of the regulator for measurements on highways at high speed contradicts the need for high-quality data collection, which causes errors in determining the thickness of the asphalt. One of the reasons for such error is the irregular changes in antenna height during the scanning at high speed. This article discusses the range of this error and shows that the accuracy of asphalt thickness measurement depends not only on the antenna height, but also on the value of dielectric permittivity and signal scattering at the reference point.
{"title":"Irregular changes in antenna height during high speed scanning as a source of essential errors in measuring the thickness of asphalt","authors":"Alan Frid, V. Frid","doi":"10.1109/ICGPR.2018.8441565","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441565","url":null,"abstract":"The use of ground-based radar (GPR) to scan the subsurface pavement structure allows to diagnose the road surface, determine the thickness of pavement layers, assess the existence of structural disturbances under the road surface, and so on. Network scale GPR scanning are performed at high speed using an air-coupled (horn) antennae in order to avoid interference with traffic. The requirement of the regulator for measurements on highways at high speed contradicts the need for high-quality data collection, which causes errors in determining the thickness of the asphalt. One of the reasons for such error is the irregular changes in antenna height during the scanning at high speed. This article discusses the range of this error and shows that the accuracy of asphalt thickness measurement depends not only on the antenna height, but also on the value of dielectric permittivity and signal scattering at the reference point.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125485478","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441650
M. Zajc, Nina Rman
Mofettes are natural gas vents where vast amounts of CO2 migrate from the subsurface and discharge into the atmosphere. Some mofettes can easily be identified by bubbles forming in the water collected in gas vents or by reduced vegetation in the surrounding area, however these indicators are not always present in the field. Geophysical investigations of the shallow subsurface can help detect possible gas vents also in dry areas without visible changes to the vegetation. The objective of this study was to test the suitability of the GPR method for researching subsurface features of two mofette sites in NE Slovenia by using three different antenna frequencies. The best ratio between resolution and depth penetration was acquired with the 500 MHz antenna. The results show that high CO2concentrations coincide well with areas of high signal attenuation seen in GPR profiles. Where mofettes were visible at the surface and the vegetation was reduced, concave reflectors were identified underneath the high attenuation horizon. Below these concave reflectors, narrow vertical zones without reflections were also observed. These could represent fractures serving as pathways for seeping gas. On both sites, 3D models also provided information about the spatial extend of the mofettes.
{"title":"Ground penetrating radar for detecting subsurface features of active gas vents — mofettes in Slovenia","authors":"M. Zajc, Nina Rman","doi":"10.1109/ICGPR.2018.8441650","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441650","url":null,"abstract":"Mofettes are natural gas vents where vast amounts of CO2 migrate from the subsurface and discharge into the atmosphere. Some mofettes can easily be identified by bubbles forming in the water collected in gas vents or by reduced vegetation in the surrounding area, however these indicators are not always present in the field. Geophysical investigations of the shallow subsurface can help detect possible gas vents also in dry areas without visible changes to the vegetation. The objective of this study was to test the suitability of the GPR method for researching subsurface features of two mofette sites in NE Slovenia by using three different antenna frequencies. The best ratio between resolution and depth penetration was acquired with the 500 MHz antenna. The results show that high CO2concentrations coincide well with areas of high signal attenuation seen in GPR profiles. Where mofettes were visible at the surface and the vegetation was reduced, concave reflectors were identified underneath the high attenuation horizon. Below these concave reflectors, narrow vertical zones without reflections were also observed. These could represent fractures serving as pathways for seeping gas. On both sites, 3D models also provided information about the spatial extend of the mofettes.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130042278","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441555
G. Gennarelli, G. Ludeno, I. Catapano, F. Soldovieri, G. Alberti, D. Califano, L. Ciofaniello, G. Palmese, C. Papa, G. Pica, G. Salzillo, C. Facchinetti, F. Longo
The paper deals with a VHF airborne radar sounder designed for the exploration of ice sheets and arid sub-surfaces. This radar is an improved version of a previously developed prototype and is the product of a project financed by the Italian Space Agency and carried out thanks to the cooperation of Italian research units. The main characteristics of the radar, and a calibration measurement campaign, which has been performed flying over a volcanic area of Lazio region (Central Italy) in September 2017, are herein described. As discussed in the paper, the calibration campaign confirmed a correct system's operation and, in particular, the enhanced along range resolution with respect to the previous prototype. The developed system was, indeed, capable of retrieving the surface topography over a large scale and in a short time. The obtained encouraging results justified the planning of an extensive validation measurement campaign, which will be performed in May 2018 on desert areas.
{"title":"An improved airborne VHF radar sounder for ice and desert exploration","authors":"G. Gennarelli, G. Ludeno, I. Catapano, F. Soldovieri, G. Alberti, D. Califano, L. Ciofaniello, G. Palmese, C. Papa, G. Pica, G. Salzillo, C. Facchinetti, F. Longo","doi":"10.1109/ICGPR.2018.8441555","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441555","url":null,"abstract":"The paper deals with a VHF airborne radar sounder designed for the exploration of ice sheets and arid sub-surfaces. This radar is an improved version of a previously developed prototype and is the product of a project financed by the Italian Space Agency and carried out thanks to the cooperation of Italian research units. The main characteristics of the radar, and a calibration measurement campaign, which has been performed flying over a volcanic area of Lazio region (Central Italy) in September 2017, are herein described. As discussed in the paper, the calibration campaign confirmed a correct system's operation and, in particular, the enhanced along range resolution with respect to the previous prototype. The developed system was, indeed, capable of retrieving the surface topography over a large scale and in a short time. The obtained encouraging results justified the planning of an extensive validation measurement campaign, which will be performed in May 2018 on desert areas.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122460370","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441571
Shufan Hu, Yonghui Zhao, T. Qin, C. An, S. Ge
The clay dam is fragile and easily found leaking because of the multiple filling and biological damage. When the leakage problem arises, it is critical to find out its causes and solutions to provide the basis for reinforcement. In this paper, there is a reservoir in the mountain area with its clay dam has the possibility of leakage. In order to characterize and delineate the leakage source, we used nondestructive investigation methods including Ground Penetrating Radar (GPR) and Electromagnetic (EM) in this site. By analyzing the integrated results of the methods mentioned above, the leakage source was identified and assigned to a special region. The anomalies caused by leakage and poor compactness in radar profiles were confirmed by EM method. Furthermore, some unreasonable interpretations caused by the artifacts in EM method were also avoided by the comparison with GPR profile, which effectively improved the reliability of the investigation result of each method.
{"title":"Study on the leakage of the clay dam using Ground penetrating radar and Electromagnetic method","authors":"Shufan Hu, Yonghui Zhao, T. Qin, C. An, S. Ge","doi":"10.1109/ICGPR.2018.8441571","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441571","url":null,"abstract":"The clay dam is fragile and easily found leaking because of the multiple filling and biological damage. When the leakage problem arises, it is critical to find out its causes and solutions to provide the basis for reinforcement. In this paper, there is a reservoir in the mountain area with its clay dam has the possibility of leakage. In order to characterize and delineate the leakage source, we used nondestructive investigation methods including Ground Penetrating Radar (GPR) and Electromagnetic (EM) in this site. By analyzing the integrated results of the methods mentioned above, the leakage source was identified and assigned to a special region. The anomalies caused by leakage and poor compactness in radar profiles were confirmed by EM method. Furthermore, some unreasonable interpretations caused by the artifacts in EM method were also avoided by the comparison with GPR profile, which effectively improved the reliability of the investigation result of each method.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"5 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120809827","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441636
M. Dossi, E. Forte, M. Pipan, R. Colucci
We apply an automated picking and inversion algorithm to a 3-D GPR data set acquired on an alpine glacieret, to study its internal stratigraphy, density distribution, total volume, and water content. GPR surveys are particularly useful for glaciological studies, since the transmitted signal can propagate efficiently through the entire glacier volume, while the large number of recorded traces makes any quantitative analysis statistically sound. The applied auto-picking algorithm is designed to accurately and objectively identify the main reflections within a GPR data set, and to characterize them in terms of their peak amplitudes, travel times, and polarities. The inversion algorithm then uses these quantities to recover the subsurface stratigraphy and EM velocity distribution along each GPR profile. In air-ice mixtures, the EM velocity is linked to the density through well-known empirical formulas. Therefore, our inversion algorithm is able to recover the density distribution within a glacier, and combine it with the internal stratigraphy to estimate its water content. By applying this procedure to a 3-D GPR data set, we can obtain an accurate model of an entire glacier, while 4-D surveys can be used to monitor its temporal changes and estimate its annual and seasonal mass balances.
{"title":"Quantitative 3-D GPR analysis to estimate the total volume and water content of a glacier","authors":"M. Dossi, E. Forte, M. Pipan, R. Colucci","doi":"10.1109/ICGPR.2018.8441636","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441636","url":null,"abstract":"We apply an automated picking and inversion algorithm to a 3-D GPR data set acquired on an alpine glacieret, to study its internal stratigraphy, density distribution, total volume, and water content. GPR surveys are particularly useful for glaciological studies, since the transmitted signal can propagate efficiently through the entire glacier volume, while the large number of recorded traces makes any quantitative analysis statistically sound. The applied auto-picking algorithm is designed to accurately and objectively identify the main reflections within a GPR data set, and to characterize them in terms of their peak amplitudes, travel times, and polarities. The inversion algorithm then uses these quantities to recover the subsurface stratigraphy and EM velocity distribution along each GPR profile. In air-ice mixtures, the EM velocity is linked to the density through well-known empirical formulas. Therefore, our inversion algorithm is able to recover the density distribution within a glacier, and combine it with the internal stratigraphy to estimate its water content. By applying this procedure to a 3-D GPR data set, we can obtain an accurate model of an entire glacier, while 4-D surveys can be used to monitor its temporal changes and estimate its annual and seasonal mass balances.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131129017","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441523
Xinglin Lu, Ao Song, R. Qian, Lanbo Liu
Ground-penetrating radar was applied at Beiluhe and Xieshuihe region along the Qlnghai-Tlbet Highway (QTH) to investigate the permafrost active layer thickness (ALT) and shallow subsurface internal structure. It has obviously differences for ALT and characteristic of shallow internal structure in different soil types and vegetation coverage. For the GPR data in different soil types and vegetation coverage, we analyzed the characteristic of reflection and diffraction and processed data using different migration method, respectively. From the analysis results, we summarize as follows: 1) the permafrost active layer was about 0.8 m in June 2015 in Beiluhe region. Due to have influence on the stratigraphy and soil moisture content, GPR profile have obviously lateral variations in Beiluhe region. It's shown the characteristic of graben-like structure from reverse time migration (RTM) profile, which may be related to the cycle of freezing and thawing on the roadbed. 2) The closer to the highway, the deeper the stratigraphy layer thickness near the north side of highway in Xieshuihe region, which may be related to compaction in highway construction. We can find out the characteristic of multi-stage internal structure of paleo-channel from GPR profile. The paleo-channel is 57.5 m wide and 3 m depth. 3) The characteristic of internal structure of shallow ground surface have obviously differences in the different landform and vegetation. The vegetation coverage is key factor to permafrost active layer. GPR can be used to analyze the lateral changes rule and internal structure of permafrost active layer in different soil types and vegetation coverage. It is very important to clearly reveal ALT and shallow ground internal structure for engineering construction and safeguard. Our work will provide a new foundation for the future detection work.
{"title":"Characterization of Subsurface Structure in Different Landforms based on GPR Profiles along the Qinghai-Tibet Highway on Permafrost region","authors":"Xinglin Lu, Ao Song, R. Qian, Lanbo Liu","doi":"10.1109/ICGPR.2018.8441523","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441523","url":null,"abstract":"Ground-penetrating radar was applied at Beiluhe and Xieshuihe region along the Qlnghai-Tlbet Highway (QTH) to investigate the permafrost active layer thickness (ALT) and shallow subsurface internal structure. It has obviously differences for ALT and characteristic of shallow internal structure in different soil types and vegetation coverage. For the GPR data in different soil types and vegetation coverage, we analyzed the characteristic of reflection and diffraction and processed data using different migration method, respectively. From the analysis results, we summarize as follows: 1) the permafrost active layer was about 0.8 m in June 2015 in Beiluhe region. Due to have influence on the stratigraphy and soil moisture content, GPR profile have obviously lateral variations in Beiluhe region. It's shown the characteristic of graben-like structure from reverse time migration (RTM) profile, which may be related to the cycle of freezing and thawing on the roadbed. 2) The closer to the highway, the deeper the stratigraphy layer thickness near the north side of highway in Xieshuihe region, which may be related to compaction in highway construction. We can find out the characteristic of multi-stage internal structure of paleo-channel from GPR profile. The paleo-channel is 57.5 m wide and 3 m depth. 3) The characteristic of internal structure of shallow ground surface have obviously differences in the different landform and vegetation. The vegetation coverage is key factor to permafrost active layer. GPR can be used to analyze the lateral changes rule and internal structure of permafrost active layer in different soil types and vegetation coverage. It is very important to clearly reveal ALT and shallow ground internal structure for engineering construction and safeguard. Our work will provide a new foundation for the future detection work.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125373239","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}
Pub Date : 2018-06-01DOI: 10.1109/ICGPR.2018.8441640
H. Saito, Nobuhito Nagai, S. Kuroda, J. Sala
A surface array ground penetrating radar (GPR) system was used to estimate the wetting front depth during an infiltration experiment conducted at an experimental field near Tottori Sand Dune, Japan. The array GPR system used in this study consists with 10 transmitting antennas (Tx) and 11 receiving antennas (Rx) aligned horizontally and scans 110 different antenna combinations in less than 1.5 seconds. Common-offset gather (COG) and common mid-point data (CMP) were reconstructed from the time-lapse multi-offset gather (MOG) collected during the infiltration experiment. During the measurement, the array antenna position was fixed to ensure data reproducibility. There have been few studies that used CMP data collected from the array GPR system for further velocity analysis. In this study, electromagnetic (EM) wave velocity structure was estimated from the reconstructed CMP data every 1 minute by fitting the hyperbola equation. Using the estimated EM wave velocity, the depth to the wetting front was computed. The estimated wetting front arrival time agree well with the time when the sudden increase in the soil dielectric constant measured independently with a soil moisture sensor was observed at the depth below 20 cm, This study demonstrates that the array GPR system is capable of tracking the depth to the continuously moving infiltration front.
{"title":"Estimating Infiltration Front Depth using Time-Lapse Multi-Offset Gathers Obtained from Array Antenna Ground Penetrating Radar","authors":"H. Saito, Nobuhito Nagai, S. Kuroda, J. Sala","doi":"10.1109/ICGPR.2018.8441640","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441640","url":null,"abstract":"A surface array ground penetrating radar (GPR) system was used to estimate the wetting front depth during an infiltration experiment conducted at an experimental field near Tottori Sand Dune, Japan. The array GPR system used in this study consists with 10 transmitting antennas (Tx) and 11 receiving antennas (Rx) aligned horizontally and scans 110 different antenna combinations in less than 1.5 seconds. Common-offset gather (COG) and common mid-point data (CMP) were reconstructed from the time-lapse multi-offset gather (MOG) collected during the infiltration experiment. During the measurement, the array antenna position was fixed to ensure data reproducibility. There have been few studies that used CMP data collected from the array GPR system for further velocity analysis. In this study, electromagnetic (EM) wave velocity structure was estimated from the reconstructed CMP data every 1 minute by fitting the hyperbola equation. Using the estimated EM wave velocity, the depth to the wetting front was computed. The estimated wetting front arrival time agree well with the time when the sudden increase in the soil dielectric constant measured independently with a soil moisture sensor was observed at the depth below 20 cm, This study demonstrates that the array GPR system is capable of tracking the depth to the continuously moving infiltration front.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126559213","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}
Pub Date : 2018-06-01DOI: 10.1109/icgpr.2018.8441678
Qiao Xu, Yang Feng, Xu Maoxuan, Zheng Jing, Abdukyum Abla
Underground caves often cause road collapse. In order to prevent the road surface subsidence, the Hilbert marginal spectrum of ground penetrating radar data can be used to find underground caves. First, the intrinsic mode function was got by the empirical mode decomposition of the GPR data. By summing the marginal spectrum of the intrinsic mode function, the marginal spectrum of the GPR data can be found. Then, the relationship between the marginal spectrum and the underground compactness was explored. Finally, the underground compactness can be found by the marginal spectrum, and the caves under the road can be detected. The result indicates that the average error of the underground compactness is less than 10%. The model experiments confirmed the accuracy of the proposed method can meet the compactness analysis.
{"title":"Underground Compactness Inversion Algorithm Based on Hilbert Marginal Spectrum","authors":"Qiao Xu, Yang Feng, Xu Maoxuan, Zheng Jing, Abdukyum Abla","doi":"10.1109/icgpr.2018.8441678","DOIUrl":"https://doi.org/10.1109/icgpr.2018.8441678","url":null,"abstract":"Underground caves often cause road collapse. In order to prevent the road surface subsidence, the Hilbert marginal spectrum of ground penetrating radar data can be used to find underground caves. First, the intrinsic mode function was got by the empirical mode decomposition of the GPR data. By summing the marginal spectrum of the intrinsic mode function, the marginal spectrum of the GPR data can be found. Then, the relationship between the marginal spectrum and the underground compactness was explored. Finally, the underground compactness can be found by the marginal spectrum, and the caves under the road can be detected. The result indicates that the average error of the underground compactness is less than 10%. The model experiments confirmed the accuracy of the proposed method can meet the compactness analysis.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"49 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635026","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}
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