|
|
The application of bilateral filtering to denoise processing of ground penetrating radar data |
ZHANG Si-Wei( ), WU Rong-Xin, HAN Zi-Ao, WU Hai-Bo |
School of Earth and Environment,Anhui University of Science and Technology,Huainan 232001,China |
|
|
Abstract During the acquisition of ground penetrating radar (GPR) data, noise would inevitably be mixed in by the influence of external factors, which seriously interferes with the identification and interpretation of effective echo. Therefore, the authors used the bilateral filtering algorithm to remove noise from ground penetrating radar data. By adding White Gaussian Noise to the forward record of ground penetrating radar to simulate the measured ground penetrating radar record, the synthetic record containing noise was filtered by bilateral filter. The results show that the bilateral filtering algorithm can remove most of the White Gaussian Noise, highlight the effective echo information and increase the peak signal-to-noise ratio (PSNR) from 15.845 1 to 22.147 7. Furthermore, the bilateral filter was used to filter the measured records. The filtered results show that the noise removal effect is better, which indicates that the bilateral filter could be effectively applied to the denoise of ground penetrating radar data.
|
Received: 27 April 2020
Published: 29 April 2021
|
|
|
|
|
|
The forward record of ground penetrating radar
|
|
Synthetic records of ground penetrating radar with different signal-to-noise ratio a—a synthetic record with a signal-to-noise ratio of 2; b—a synthetic record with a signal-to-noise ratio of 10
|
|
The result of bilateral filtering of the GPR in figure 2a a—bilateral filtered profile;b—the residual profile
|
|
The result of bilateral filtering of the GPR in figure 2b a—bilateral filtered profile;b—the residual profile
|
高斯白噪声 信噪比 | 含噪图像 信噪比 | 滤波图像 信噪比 | 1 | 1.872 9 | 13.391 5 | 2 | 4.875 9 | 15.360 2 | 10 | 11.867 8 | 22.147 7 |
|
PSNR values of White Gaussian Noise images with different signal-to-noise ratio
|
|
Bilateral filtering effect of ground penetrating radar records measured by PVC tube a—the original profile;b—the bilateral filtered profile;c—the residual profile
|
|
Bilateral filtering effect of pipeline ground penetrating radar record a—the original profile;b—the bilateral filtered profile;c—the residual profile
|
[1] |
曾昭发. 探地雷达方法原理及应用[M]. 北京: 科学出版社, 2006.
|
[1] |
Zeng Z F. Principle and application of ground penetrating radar[M]. Beijing: Science Press, 2006.
|
[2] |
李大心. 探地雷达方法与应用[M]. 北京: 地质出版社, 1994.
|
[2] |
Li D X. Method and application of ground penetrating radar[M]. Beijing: Geological Publishing House, 1994.
|
[3] |
黄真萍, 曹洁梅, 周成峰, 等. 探地雷达资料的高分辨去噪处理及应用[J]. 福州大学学报:自然科学版, 2012,40(4):521-526.
|
[3] |
Huang Z P, Cao J M, Zhou C F, et al. The high-resolution de-noise processing of processing-pretetrating radar data and its engineering application[J]. Journal of Fuzhou University:Natural Science Edition, 2012,40(4):521-526.
|
[4] |
张先武, 高云泽, 方广有. 带有低通滤波的广义S变换在探地雷达层位识别中的应用[J]. 地球物理学报, 2013,56(1):309-316.
|
[4] |
Zhang X W, Gao Y Z, Fang G Y. Appliaction of generalized S transform with lowpass filtering to layer recognition of Ground Penetrating Radar[J]. Chinese Journal of Geophysics, 2013,56(1):309-316.
|
[5] |
杨秋芬. 基于维纳滤波的探地雷达信号提高分辨率研究[J]. 科技视界, 2013(27).
|
[5] |
Yang Q F. Reaserch on improved resolution of ground penetratin rada signal on Wiener filter [J]. Science & Technology Vision, 2013(27).
|
[6] |
黄敏, 朱德兵, 郭政学, 等. 连续小波变换在探地雷达信号分析中的应用[J]. 物探化探计算技术, 2012,34(5):593-598.
|
[6] |
Huang M, Zhu D B, Guo Z X, et,al. Application of continuous Wavelet transform in signal analysis of ground penetrating radar[J]. Computing Technologys for Geochemical Exploration, 2012,34(5):593-598.
|
[7] |
李春华, 胡本钓. 基于小波变换mallat算法的雷达回波去噪[J]. 机电一体化, 2010,16(2):51-53.
|
[7] |
Li C H, Hu B D. Radar target signal denoising based on wavelet mallat algorithm[J]. Mechatronics, 2010,16(2):51-53.
|
[8] |
张梦殊, 那振宇, 梁道轩, 等. 一种联合小波阈值和维纳滤波的探地雷达信号去噪方法[J]. 移动通信, 2018,42(7):39-44.
|
[8] |
Zhang M S, Na Z Y, Liang D X, et,al. A Joint wavelet threshold and wiener filtering de-noising method for ground penetrating radar signal[J]. Mobile Communications, 2018,42(7):39-44.
|
[9] |
Tomasi C, Manduchi R. Bilateral filtering for gray and color images[C] //Proceedings of the Sixth International Conference on Computer Vision (ICCV98), IEEE Computer Society, 1998.
|
[10] |
王玉灵. 基于双边滤波的图像处理算法研究[D]. 西安:西安电子科技大学, 2010.
|
[10] |
Wang Y L. Study of algorithm in image processing based on the bilateral filter[D]. Xi'an: Xidian University, 2010.
|
[11] |
蒋辉. 双边滤波理论及其在遥感图像处理中的应用研究[D]. 成都:西南交通大学, 2014.
|
[11] |
Jiang H. Reaearch for bilateral filtering theory and its application in remote sensing image processing[D]. Chengdu:Southwest Jiaotong University, 2014.
|
[12] |
Paris S, Kornprobst P, Tumblin J, et al. A gentle introduction to bilateral filtering and its applications[C] // ACM Siggraph 2008 Classes,ACM, 2008.
|
[13] |
方连超. 基于双边结构张量的三维图像纹理分析与应用[D]. 成都:电子科技大学, 2014.
|
[13] |
Fang L C. Analysis and application of 3D image texture based on bilateral structure tensor[D]. Changdu:University of Electronic Science and Technology of China, 2014.
|
[14] |
郑丽娟, 张杰, 郑丽萍. 基于体素的双边滤波快速实现[J]. 电视技术, 2018,42(12):11-17.
|
[14] |
Zheng L J, Zhang J, Zheng L P. A fast implementation of bilateral filtering with voxel[J]. Television Technology, 2018,42(12):11-17.
|
[15] |
赵苓, 郭召阳, 任仲超. 基于改进双边滤波的气体泄漏检测[J]. 液压与气动, 2019,43(3):49-53.
|
[15] |
Zhao L, Guo Z Y, Ren Z C. Air leak detection based on bilateral filter of infrared image[J]. Chinese Hydraulics & Pneumatics, 2019,43(3):49-53.
|
[16] |
Weickert J. Coherence-enhancing diffusion filtering[J]. International Journal of Computer Vision, 1999,31:111-127.
|
[17] |
余胜威, 丁建明, 吴婷, 等. MATLAB图像滤波去噪分析及其应用[M]. 北京: 北京航空航天大学出版社, 2015.
|
[17] |
Yu S W, Ding J M, Wu T, et al. MATLAB image filtering denoising discovery and application[M]. Beijing: Beihang University Press, 2015.
|
[18] |
王念旭, 杨亚东. DSP基础与应用系统设计[M]. 北京: 北京航空航天大学出版社, 2001.
|
[18] |
Wang N X, Yang Y D. Basic and application system design of DSP[M]. Beijing: Beihang University Press, 2001.
|
[1] |
WU Song, NING Xiao-Bin, YANG Ting-Wei, JIANG Hong-Liang, LU Chao-Bo, SU Yu-Di. Neural network-based denoising for ground-penetrating radar data[J]. Geophysical and Geochemical Exploration, 2023, 47(5): 1298-1306. |
[2] |
ZENG Bo, LIU Shuo, YANG Jun, FENG De-Shan, YUAN Zhong-Ming, LIU Jie, WANG Xun. Influence of surface undulations on GPR-based underground pipeline detection[J]. Geophysical and Geochemical Exploration, 2023, 47(4): 1064-1070. |
|
|
|
|