Study on Ground Penetrating Radar Signal Denoising Method Based on Surfacelet Transform and 3D Context Model

Abstract:

The ground penetrating radar and radar wave propagation in the subsurface environment is very complex. All kinds of noise and clutter interference is very serious, and detection echo data is a variety of with clutter. Therefore, the key techniques of data processing is to suppress clutter processing of ground penetrating radar record data. Surfacelet transform can efficiently capture and represent local surface singularities with different sizes. In order to improve the reliability of 3D ground penetrating radar detection results and accuracy, this paper presents a three-dimensional ground penetrating radar signal denoising method based on Surfacelet transform. Using Surfacelet transform and 3D context model for ground penetrating radar (GPR) analog signal to denoising, the noise in the case of low signal noise ratio (SNR) still can obtain a better result, and the simulations prove the effectiveness of the method.

• Periodical: Advanced Materials Research (Volumes 1010-1012)
• Pages: 1272-1275
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.1272
• Online since: August 2014
• Authors: Dan Dan Liu*, Zhi Qiu Yang, Chun Rui Tang
• Keywords: 3D Context, Denosing, Ground Penetrating Radar Signal, Surfacelet Transform

References

[1] SHI Xianxin, YANG Qiufen, HOU Yanwei. Eliminating random noise interference of ground penetrating radar signal by resorting to 2-D physical wavelet frame. Chinese Journal of Radio Science, 2012, 27(6): 1186-1191.

DOI: 10.1109/rsete.2011.5964269

[2] SHEN Jia-quan, YAN Hua-i zhi, HU Chang-zhen. Auto-selected rule on principal component analysis in ground penetrating radar signal denoising. Chinese Journal of Radio Science, 2010, 29(1): 83-87.

[3] JIN Zhao-di, NAI Chang-xin, LIU Yu-qiang, DONG Lu. SWD signal processing based on wavelet domain correlation algorithm. JOURNALOF CHINA COAL SOCIETY. 2012, 37(4): 621-626.

[4] CHENU Jianyuan, SHI Xian-xin. Current status and development of coal geophysical technology in China. Progress in geophysics. 2013, 28(4): 2024-(2032).

[5] Shen Jia-quan, Yan Huai-zhi, Hu Chang-Zhen. Evaluation method based on image entropy for clutter suppression effect of ground-penetrating radar. Chinese Journal of Radio Science, 2011, 26(2): 267-271.

[6] YANG Qiu-fen, SHIXian-xin. Removing for the directwave noise in ground penetrating radar. JOURNALOF CHINA COAL SOCIETY. 2008, 33(7): 770-774.

[7] BAO Qian-zong, CHEN Wen-chao, GAO Jing-huai, WANG Wen-bing. Direct wave attenuation technique of GPR by curvelet transform. Chinese Journal of Radio Science, 2008, 23(3): 449-454.