2016 16th International Conference on Ground Penetrating Radar (GPR)最新文献_第6页

Shifting zoom in 2D linear inversions performed on GPR data gathered along an electrically large investigation domain 移动变焦在沿电大调查域收集的GPR数据进行二维线性反演

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572646

R. Persico, F. Soldovieri, S. Lambot

引用次数: 1

Using bidimensional empirical mode decomposition method to identification buried objects from GPR B-scan image 利用二维经验模态分解方法从探地雷达b扫描图像中识别地物

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572677

Y. Qin, L. Qiao, X. Ren, Q. F. Wang

{"title":"Using bidimensional empirical mode decomposition method to identification buried objects from GPR B-scan image","authors":"Y. Qin, L. Qiao, X. Ren, Q. F. Wang","doi":"10.1109/ICGPR.2016.7572677","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572677","url":null,"abstract":"In order to successfully identify the subsurface targets amidst the surrounding clutter, it is necessary to locate and distinguish the genuine target reflections from spurious reflections. In this paper, we propose a novel Bidimensional Empirical Mode Decomposition (BEMD) system to identify buried objects from ground penetrating radar (GPR) images. The entire process can be subdivided into four steps. First the image is decomposed by the BEMD to extract the Intrinsic Mode Functions (IMFs) of the B-scan image. All these IMFs can be expressed as gradual single-frequency signals that enhance the physical meaning of instantaneous frequencies and instantaneous amplitudes. Then the IMF component which reflects more target information is selected for detection of further hyperbolas. After the extraction, background clutter is to a large extent removed while keeping the target signal. To find the best-fitting hyperbolas, object position of vertex is estimated by maximum point estimation method and velocity is estimated by minimum entropy method. Finally, the location of reflection hyperbolas is extracted. Applications of this method over simulated image and experimental data show its effectiveness in the detection of hyperbolas.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"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":"130215775","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

Data processing and some results of Chang'E-5 LRPR ground verification 嫦娥五号LRPR地面验证数据处理及部分结果

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572698

Y. Li, G. Fang, Y. C. Ji, B. Zhou, S. Shen

{"title":"Data processing and some results of Chang'E-5 LRPR ground verification","authors":"Y. Li, G. Fang, Y. C. Ji, B. Zhou, S. Shen","doi":"10.1109/ICGPR.2016.7572698","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572698","url":null,"abstract":"Lunar Regolith Penetrating Radar (LRPR) is a high resolution penetrating and imaging radar, which is a main payload onboard the detector of Chang'E-5. It is mounted on the bottom of the detector of Chang'E-5 and its main task is to survey the lunar regolith thickness and subsurface structure of landing domain. Because the detector is static, LRPR has to work only in stationary condition and is designed as a multi-input and multi-output ground penetrating radar system, employing an antenna array including 12 off-ground Vivaldi antennas as transmitters or receivers. When one serves as the transmitter antenna, the others are as the receiver antennas, in turn, to complete all scan probe task. During the development of the equipment, the detection capability and the imaging method of processing the dataset must be verified on the ground. A multi-offset diffraction stack migration algorithm to process LRPR dataset for obtaining a high resolution image of detect domain is developed on this paper. The results of ground verification demonstrate that the multi-offset diffraction stack migration algorithm can be applied to process LRPR dataset, and LRPR meets the design specifications: detecting depth over 2m, and detecting resolution better than 5 cm in lunar regolith.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"33 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":"127708059","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: 7

FDTD simulation of GPR with a realistic multi-pole debye description of lossy and dispersive media 有耗介质和色散介质具有多极德比描述的探地雷达时域有限差分仿真

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572599

M. Loewer, J. Igel

引用次数: 11

Localization and backscattering density estimation from GPR data with neural network 基于神经网络的探地雷达数据定位与后向散射密度估计

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572686

T. Liu, C. Huang, Y. Su, W. Xu

引用次数: 1

Source-independent time-domain waveform inversion of cross-hole GPR data 井间探地雷达数据的非源时域波形反演

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572614

X. Meng, S. Liu

{"title":"Source-independent time-domain waveform inversion of cross-hole GPR data","authors":"X. Meng, S. Liu","doi":"10.1109/ICGPR.2016.7572614","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572614","url":null,"abstract":"Recently, waveform inversion is one of the most popular methods because it can provide sub-wavelength images. In the inversion of field data, the source wavelet must be estimated. Traditionally, the source wavelet is added in the inversion as a new unknown parameter and updated with iterations. When the results of the inversion are the same as the true models, the estimated source wavelet is same as the true source wavelet. The method is useful in the inversion of synthetic data. But it does not perform well and needs a lot of intervention if the signal-to-noise ratio of field data is not high. In this paper, we realize a source-independent time-domain waveform inversion. The object function of this algorithm consists of the convolution of the modeled data with a reference trace from the field data, and the convolution of the field data with a reference trace from the modeled data. In this way, the effects of the source wavelets are removed. For the inversion of synthetic data, the permittivity and conductivity are simultaneously updated and the results obtained show that the algorithm is effective. Finally, we apply the algorithm to field data.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"39 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":"127054809","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

Research on moisture content prediction by short-time energy spectrum 短时间能谱预测含水率的研究

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572596

Q. Xu, Y. Feng, J. Jia

引用次数: 1

Reflection waveforms occurring in GPR tree trunk testing 探地雷达树干测试中的反射波形

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572598

J. Ježová, S. Lambot

{"title":"Reflection waveforms occurring in GPR tree trunk testing","authors":"J. Ježová, S. Lambot","doi":"10.1109/ICGPR.2016.7572598","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572598","url":null,"abstract":"In order to predict the collapse of a tree, it is necessary to investigate its internal parts. To perform such investigation without harming the tree, ground penetrating radar (GPR) appears to be a promising non-invasive technique. The objective of this study is the investigation of particular features occurring in tree trunk radar images, due to the circumferential data acquisition. This study is also focused on detailed description of electromagnetic wave scattering within the cylindrical object and particular reflection curves. In that respect, two experiments, including a circular medium with a circular hole inside, were performed: (1) numerical simulations, and (2) measurements over a laboratory model. For improving readability of the GPR images, we considered (1) common zero-offset reflection imaging, (2) reflection imaging including a planar perfect electrical conductor (PEC), and (3) reflection imaging including a PEC arc. Besides straight-ray propagation, also total internal reflections (TIR) of waves within the trunk were observed. The analytical expression of the reflection curves was derived for both wave propagation modes. We confirmed our assumptions with a comparison of both experiments and analytical equations.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"14 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":"131219735","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

Detection of railway subgrade moisture content by GPR 探地雷达探测铁路路基含水率

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572613

J. Cai, S. Liu, L. Fu, Y. Feng

{"title":"Detection of railway subgrade moisture content by GPR","authors":"J. Cai, S. Liu, L. Fu, Y. Feng","doi":"10.1109/ICGPR.2016.7572613","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572613","url":null,"abstract":"In cold regions, heaving of the railway subgrade is an important security risk to high-speed railways. It is necessary to monitor the moisture content of the subgrade in order to ensure normal railway operation. Common midpoint (CMP) measurement using ground penetrating radar (GPR) was carried out to estimate the moisture content of railway subgrade. As the subgrade is typically a layered medium, the CMP method is suitable for moisture content measurement. Firstly, the CMP data is analyzed through the velocity spectrum to obtain the stacking velocity, from which the vertical interval velocity profile can be calculated by Dix's formula. The moisture content can be obtained by Topp's formula from dielectric constant, which depends on the velocity. However, velocity analysis has lots of problems in shallow and thin layers like rail subgrade. With the help of FDTD simulation by gprMAX, we find that there are many multiples and refracted waves which cause many false results during velocity analysis as the offset is large. Under the guidance of the simulated result, we use optimized data for velocity analysis of the real data. It is found that the final result is good and in accordance with the result of induced polarizability (IP). It is proven that it is indeed feasible to use GPR to detect the moisture content of subgrade. This method can be widely applied in subgrade moisture detection.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"30 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":"131063460","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

EM characterization of concretes focused on water and chloride contents in the frame of multi-linear experimental designs 在多线性实验设计框架下，混凝土的电磁表征集中在水和氯含量上

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572644

Xavier Dérobert, G. Villain

{"title":"EM characterization of concretes focused on water and chloride contents in the frame of multi-linear experimental designs","authors":"Xavier Dérobert, G. Villain","doi":"10.1109/ICGPR.2016.7572644","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572644","url":null,"abstract":"This study is devoted to the electromagnetic (EM) characterization of concrete mixes within the ground penetrating radar frequency band. Defining two specific experimental designs, water and chloride contents are studied in order to establish their relative sensitivity compared to the other parameters describing the mixes. The evaluation of the complex dielectric properties is carried out in laboratory on 24 and 36 different concrete samples (for the moisture and chloride studies respectively), for which composition parameters are the aggregate nature, the cement nature, the cement content, and the water to cement ratio, and conditions are the water saturation degree or the chloride content. In the case of the chloride experimental design, the mixes are tested dry and saturated. EM characterization is performed using a coaxial-cylindrical cell working in the frequency band [50 MHz-~1000 MHz]. The models of relative permittivity associated with the experimental designs are multi-linear polynomials of the 4 or 5 chosen engineering parameters, depending on the study. The exploitation of the data sets consists of a calculation of the coefficients of the models independently for the real and imaginary parts of the relative permittivity, for different frequencies. This reveals the significant relationship between the dielectric properties and the composition parameters, and their evolution as a function of the frequency. Raw results in terms of the real and imaginary parts of the dielectric permittivity along frequencies are presented for the different concretes, in dry and saturated conditions for the chloride experimental design, and the sensitivity of the parameters are discussed.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"31 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":"124130919","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: 2