|
|
Application of the minimum entropy method based on a velocity-controlled moving window to the reverse time migration of ground-penetrating radars |
XI Yu-He( ), WANG Hong-Hua( ), WANG Yu-Cheng, WU Qi-Ming |
College of Earth Sciences,Guilin University of Technology,Guilin 541004,China |
|
|
Abstract Velocity is a key parameter determining the migration imaging resolution of ground penetrating radars (GPR).The method combining minimum image entropy and migration usually estimates the medium velocity by calculating the entropy curves using the overall migration profile as a fixed window.Therefore,such a method is not applicable to non-uniformly distributed media.Moreover,for this method,a too-high or too-low test velocity will make the convergence position of hyperbolic diffracted waves go beyond the fixed window,thus reducing the estimation accuracy.This study proposed a minimum entropy method based on a velocity-controlled moving window,in which the calculation window in the migration profile is accurately controlled by the test velocity.Then,this method was combined with inverse time migration to estimate the optimal migration velocity.By automatically adjusting the position of the calculation window using the trial velocity,this method keeps the convergence position of hyperbolic diffracted waves at the center of the calculation window.In this manner,stable and accurate entropy curves can be obtained.By comparing the calculation results with those of the minimum entropy method based on a fixed window,this study verified the correctness and effectiveness of the minimum entropy method based on a velocity-controlled moving window for a typical hyperbolic diffracted wave.As revealed by numerical experiments and the tests of measured data,compared with the minimum entropy method based on a fixed window,the minimum entropy method based on a velocity-controlled moving window can keep the convergence position of hyperbolic diffracted waves accurately at the center of the calculation window,yielding more stable entropy curves,lower computational complexity,higher estimation accuracy of the migration velocity,and better imaging performance of reverse time migration.
|
Received: 24 November 2022
Published: 27 October 2023
|
|
Corresponding Authors:
WANG Hong-Hua
E-mail: 1076571663@qq.com;wanghonghua5@163.com
|
|
|
|
|
GPR 2D section with a hyperbola
|
|
Velocity model of homogeneous medium(a) and its forward simulation profile(b)
|
|
Entropy curve calculated with different windows
|
|
Reverse time migration profile of the uniform cavity model with different test velocities
|
|
The reverse time migration profile calculated with the best migration velocity of 0.1 m/ns
|
|
Velocity model of layered media(a) and its forward simulation profile(b)
|
|
Calculate entropy of diffraction 1 in different windows
|
|
Reverse time migration profiles of different test velocities in the calculation of diffraction 1
|
|
Calculate entropy of diffraction 2 in different windows
|
|
Reverse time migration profiles of different test velocities in the calculation of diffraction 2
|
|
The reverse time migration profile calculated with the best migration velocity
|
|
Measured GPR 2D profile
|
|
Calculate entropy of diffraction 1 in different windows
|
|
Reverse time migration profiles of different test velocities in the calculation of diffraction 1
|
|
Calculate entropy of diffraction 2 in different windows
|
|
Reverse time migration profiles of different test velocities in the calculation of diffraction 2
|
|
The reverse time migration profile calculated with the best migration velocity
|
[1] |
甄志中, 王晋国, 石显新. 2D有限差分偏移技术在探地雷达信号成像中的应用[J]. 煤田地质与勘探, 2007, 35(6):57-60.
|
[1] |
Zhen Z Z, Wang J G, Shi X X. Ground penetrating radar data imaging via the 2D finite-diffrence migration method[J]. Coal Geology & Exploration, 2007, 35(6):57-60.
|
[2] |
冯德山, 张彬, 戴前伟, 等. 基于速度估计的改进型线性变换有限差分偏移在探地雷达中的应用[J]. 地球物理学报, 2011, 54(5):1340-1347.
|
[2] |
Feng D S, Zhang B, Dai Q W, et al. The application of the improved linear transformation of finite difference migration basedon the velocity estimation in the GPR date processing[J]. Chinese Journal of Geophysics, 2011, 54(5):1340-1347.
|
[3] |
于景兰, 王春和. 探地雷达探测地下目标时的波速估计[J]. 地球物理学进展, 2003, 18(3):477-480.
|
[3] |
Yu J L, Wang C H. Estimation of EM wave velocity in detecting underground target by GPR[J]. Progress in Geophysics, 2003, 18(3):477-480.
|
[4] |
崔凡, 李思远, 王丽冰. 基于互相关分析及最小二乘拟合的 GPR 偏移速度估计[J]. 地球物理学进展, 2018, 33(1):353-361.
|
[4] |
Cui F, Li S Y, Wang L B. Migration velocity estimation of GPR based on cross-correlation and least square fitting[J]. Progress in Geophysics, 2018, 33(1):353-361.
|
[5] |
许献磊, 赵艳玲, 王方, 等. GPR探测地埋管径研究综述[J]. 地球物理学进展, 2012, 27(5):2206-2215.
|
[5] |
Xu X L, Zhao Y L, Wang F, et al. Review on diameter detection of underground pipe with GPR[J]. Progress in Geophys, 2012, 27(5):2206-2215.
|
[6] |
邓小燕, 王通. 探地雷达探测中对媒质相对介电常数的测定[J]. 物探与化探, 2009, 33(1):43-45.
|
[6] |
Deng X Y, Wang T. The measurement of relative dielectic constant of media in GPR exploration[J]. Geophysical and Geochemical Exploration, 2009, 33(1):43-45.
|
[7] |
戴前伟, 宁晓斌, 张彬. 基于共中心点道集约束的探地雷达波阻抗反演[J]. 煤田地质与勘探, 2020, 48(3):211-218.
|
[7] |
Dai Q W, Ning X B, Zhang B. Common midpoint gather constraint-based impedance inversion of ground penetrating radar[J]. Coal Geology & Exploration, 2020, 48(3):211-218.
|
[8] |
张崇民, 张凤凯, 李尧. 隧道施工不良地质探地雷达超前探测全波形反演研究[J]. 隧道建设, 2019, 39(1):102-109.
|
[8] |
Zhang C M, Zhang F K, Li Y. Study of Full Waveform Inversion of Advance Tunnel Geological Prediction by Ground Penetrating Radar.Tunnel Construction[J]. Tunnel Construction, 2019, 39(1):102-109.
|
[9] |
Feng D S, Wang X, Zhang B. Improving reconstruction of tunnel lining defects from ground-penetrating radar profiles by multi-scale inversion and bi-parametric full-waveform inversion[J]. Advanced Engineering Informatics, 2019, 41:100931.
|
[10] |
李昕洁, 王维红, 郭雪豹, 等. 全波形反演正则化方法对比[J]. 石油地球物理勘探, 2022, 57(1):129-139.
|
[10] |
Li X J, Wang W H, Guo X B, et al. Comparison of regularization methods for full-wave-form inversion[J]. Oil Geophysical Prospecting, 2022, 57(1):129-139.
|
[11] |
Gaber A, Gemail K S, Kamel A, et al. Integration of 2D/3D ground penetrating radar and electrical resistivity tomography surveys as enhanced imaging of archaeological ruins:A case study in San El-Hager (Tanis) site,northeastern Nile Delta,Egypt[J]. Archaeological Prospection, 2021, 28(2):251-267.
|
[12] |
Liu H, Long Z J, Tian B, et al. Two-Dimensional Reverse-Time Migration Applied to GPR With a 3-D-to-2-D Data Conversion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(10):4313-4320.
|
[13] |
Liu H, Long Z J, Han F, et al. Frequency-Domain Reverse-Time Migration of Ground Penetrating Radar Based on Layered Medium Green's Functions[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(8):2957-2965.
|
[14] |
Zhu W Q, Huang Q H, Liu L B, et al. Three-Dimensional Reverse Time Migration of Ground-Penetrating Radar Signals[J]. Pure and Applied Geophysics, 2020, 177(2):853-865.
|
[15] |
Al-Nuaimy W, Huang Y, Nakhkash M, et al. Automatic detection of buried utilities and solid objects with GPR using neural networks and pattern recognition[J]. Journal of applied Geophysics, 2000, 43(2-4):157-165.
|
[16] |
Shihab S, Al-Nuaimy W. Radius estimation for cylindrical objects detected by ground penetrating radar[J]. Subsurface sensing technologies and applications, 2005, 6(2):151-166.
|
[17] |
De Vries D, Berkhout A J. Velocity analysis based on minimum entropy[J]. Geophysics, 1984, 49(12):2132-2142.
|
[18] |
Xu X Y, Miller E L, Rappaport C M. Minimum entropy regularization in frequency-wavenumber migration to localize subsurface objects[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(8):1804-1812.
|
[19] |
修志杰, 陈洁, 方广有, 等. 基于F-K偏移及最小熵技术的探地雷达成像法[J]. 电子与信息学报, 2007, 29(4):827-830.
|
[19] |
Xiu Z J, Chen J, Fang G Y, et al. Ground penetrating radar imaging based on F-K migration and minimum entropy method[J]. Journal of Electronics and Information Technology, 29(4):827-830.
|
[20] |
Zhou H L, Wan X, Li W, et al. Combining FK filter with minimum entropy Stolt migration algorithm for subsurface object imaging and background permittivity estimation[J]. Procedia Engineering, 2011, 23:636-641.
|
[21] |
吴学礼, 郑文俭, 胡雪松, 等. 基于偏移定位技术的水利探测方法及应用[J]. 河北科技大学学报, 2019, 40(4):317-324.
|
[21] |
Wu X L, Zheng W J, Hu X S, et al. Water conservancy detection method and application based on migration locationing technology[J]. Journal of Hebei University of Science and Technology, 2019, 40(4):317-324.
|
[22] |
Bradford J H, Privette J, Wilkins D, et al. Reverse-time migration from rugged topography to image ground-penetrating radar data in complex environments[J]. Engineering, 2018, 4(5):661-666.
|
[23] |
王敏玲, 廖天元, 王洪华, 等. 基于 FDTD 的探地雷达三维逆时偏移成像[J]. 地球物理学进展, 2019, 34(4):1671-1678.
|
[23] |
Wang M L, Liao T Y, Wang H H, et al. 3D reverse time migration of ground penetrating radar based on finite difference time domain method[J]. Progress in Geophysics, 2019, 34(4):1671-1678.
|
[24] |
薛桂霞, 邓世坤, 刘秀娟. 逆时偏移在探地雷达信号处理中的应用[J]. 煤田地质与勘探, 2004, 32(1):55-57.
|
[24] |
Xue G X, Deng S K, Liu X J. An application of reverse-time migration in the ground-penetrating radar data processing[J]. Coal Geology & Exploration, 2004, 32(1):55-57.
|
[25] |
王洪华, 龚俊波, 梁值欢, 等. 基于电磁波衰减补偿的探地雷达三维逆时偏移成像[J]. 地球物理学报, 2021, 64(6):2141-2152.
|
[25] |
Wang H H, Gong J B, Liang Z H, et al. Three-dimensional reverse time migration of ground pentrating radar data based on electromagnetic wave attenuated compensation[J]. Chinese Journal of Geophysics, 2021, 64(6):2141-2152.
|
[26] |
王敏玲, 梁值欢, 王洪华, 等. 探地雷达逆时偏移成像方法研究现状及进展[J]. 地球物理学进展, 2019, 34(5):2087-2096.
|
[26] |
Wang M L, Liang Z H, Wang H H, et al. Review of reverse time migration in ground penetrating radar[J]. Progress in Geophysics, 2019, 34(5):2087-2096.
|
[27] |
龚俊波, 王洪华, 王敏玲, 等. 逆时偏移在探地雷达数据处理中的应用[J]. 物探与化探, 2019, 43(4):835-842.
|
[27] |
Gong J B, Wang H H, Wang M L, et al. The application of reverse time migration to GPR data processing[J]. Geophysical and Geochemical Exploration, 2019, 43(4):835-842.
|
[28] |
朱云峰, 王齐仁, 张启, 等. 基于 FDTD 数值技术分析反向障碍物对探地雷达采集数据的影响[J]. 煤田地质与勘探, 2016, 44(5):149-154.
|
[28] |
Zhu Y F, Wang Q R, Zhang Q, et al. FDTD numeric technique-based analysis of the influence of reverse obstacle on data acquisition of ground penetrating radar[J]. Coal Geology & Exploration, 2016, 44(5):149-154.
|
[29] |
Wu H S, Barba J. Minimum entropy restoration of star field images[J]. IEEE Transactions on Systems,Man,and Cybernetics,Part B (Cybernetics), 1998, 28(2):227-231.
|
[30] |
蒋清乐, 卢继平, 孙涛, 等. 基于GPR偏移成像处理的杆塔接地体缺陷检测[J]. 高电压技术, 2021, 47(1):322-330.
|
[30] |
Jiang Q L, Lu J P, Sun T, et al. Defect detection of pole tower grounding body based on GPR offset imaging[J]. High Voltage Engineering, 2021, 47(1):322-330.
|
[31] |
林志强, 王磊, 樊斌斌. 基于图像熵的探地雷达 Kirchhoff 偏移成像算法[J]. 火力与指挥控制, 2020, 45(12):97-100.
|
[31] |
Lin Z Q, Wang L, Fan B B. Kirchhoff migration imaging algorithm of ground penetrating radar based on image entropy[J]. Fire Control & Command Control, 2020, 45(12):97-100.
|
[1] |
XU Lei-Liang, ZHAO Guo-Yong, ZHANG Jian, ZHONG Tian-Miao, GU Jia-Ying, YOU Jian, QU Ying-Ming. Joint Q-compensated least-squares reverse time migration using primary and diffracted waves[J]. Geophysical and Geochemical Exploration, 2023, 47(1): 91-98. |
[2] |
WANG Ji-Chuan, GU Bing-Luo, LI Zhen-Chun. Effects of well types on the visco-acoustic reverse time migration based on borehole seismics[J]. Geophysical and Geochemical Exploration, 2022, 46(5): 1196-1206. |
|
|
|
|