Notice：
News: Another formal entry in international databases! 2023-02-08 Good news! Journal of Mining Science and Technology is included by Scopus database! 2022-03-22
Volume 2 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Mining Science and Technology  > 2017  >  2(3): 228-234
Zheng Jing, Yu Ke, Wang Pengyue, Jiang Shuqi, Teng Xingzhi. GPR data noise attenuation based on the Shearlet transform[J]. Journal of Mining Science and Technology, 2017, 2(3): 228-234.
Citation: Zheng Jing, Yu Ke, Wang Pengyue, Jiang Shuqi, Teng Xingzhi. GPR data noise attenuation based on the Shearlet transform[J]. Journal of Mining Science and Technology, 2017, 2(3): 228-234.
shu

GPR data noise attenuation based on the Shearlet transform

  • 1.

    College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China;2.State Key Laboratory of Coal Resources and Safe Mining,Beijing 100083,China;3.Beijing Bo′an Ruida Engineering Technology Company Limited,Beijing 100083,China

  • Received Date: 2016-10-14
  • Publish Date: 2017-06-30
    Abstract
  • When using ground penetrating radar(GPR)to detect the underground target distribution,valid signal in receiving data tend to be susceptible to noise and the interference of air-ground waves,which will affect the accuracy of target recognition and increase the difficulty of target recognitionThe successful application of Shearlet transform in image and seismic data shows its superiority for denoising processWhen using the Shearlet transform to reduce the noise of the data,the choice of threshold has a great influence on the denoising effectIn order to improve the denoising effect for radar data,a novel denosing method combining singular value decomposition(SVD)method for suppression of random noise to enhance the reflection signal caused by underground targetsThe method is applied to process was proposed the simulation and field datasets,and the experimental results show that the method is effective
    • FullText(HTML)
  • loading
    • References(18)
  • [1]
    包乾宗,陈文超,高静怀,等.探地雷达直达波衰减的Curvelet变换方法[J].电波科学学报,2008,23(3):449-454.
    [2]
    Bao Qianzong,Chen Wenchao,Gao Jinghuai,et al.Direct wave attenuation technique of GPR by curvelet transform[J].Chinese Journal of Radio Science,2008,23(3):449-454.
    [3]
    Zheng Jing,Peng Suping,Yang Feng.A novel edge detection for buried target extraction after SVD-2D wavelet processing[J].Journal of Geophysics,2014(106):106-113.
    [4]
    Emmanuel C,Laurent D,David D,et al.Fast discrete curvelet transforms[J].Multiscale Modeling and Simulation,2005,5(3):861- 899.
    [5]
    Do M N,Vetterli M.The contourlet transfor-man efficient directional multiresolution image representation[J].IEEE Transactions on Image Processing,2005,14(12):2091-2106.
    [6]
    Guo Kanghui,Kutyniok G,Labate D.Sparse multidimensional representations using anisotropic dilation and shear operators[C].International Conference on the Interaction between Wavelets and Splines,2005:189-201.
    [7]
    Guo Kanghui,Labate D.Optimally sparse multidimensional representation using shearlets[J].Siam Journal on Mathematical Analysis,2007,39(1):298-318.
    [8]
    刘成明,王德利,王通,等.基于Shearlet变换的地震随机噪声压制[J].石油学报,2014,35(4):692-699.
    [9]
    Liu Chengming,Wang Deli,Wang Tong,et al.Random seismic noise attenuation based on the Shearlet transform[J].Acta Petrolei Sinica,2014,35(4):692-699.
    [10]
    胡海智,孙辉,邓承志,等.基于Shearlet变换的图像去噪算法[J].计算机应用,2010,30(6):1562-1564.
    [11]
    Hu Haizhi,Sun Hui,Deng Chengzhi,et al.Image denoising algorithm based on Shearlet transform[J].Journal of Computer Applications,2010,30(6):1562-1564.
    [12]
    朱华生,徐晨光.Shearlet变换域自适应图像去噪算法[J].激光与红外,2012,42(7):811-814.
    [13]
    Zhu Huasheng,Xu Chenguang.Adaptive image denoising algorithm based on Shearlet transform[J].Laser & Infrared,2012,42(7):811-814.
    [14]
    Kutyniok G,Shahram M,Zhuang X.ShearLab:A rational design of a digital parabolic scaling algorithm[J].Siam Journal on Imaging Sciences,2011,5(4):1291-1332.
    [15]
    李昂,蒋延生,张安学,等.自适应对消在去除探地雷达信号直达波的应用[J].电波科学学报,2008,23(3):223-227.
    [16]
    Li Ang,Jiang Yansheng,Zhang Anxue,et al.Suppressing the direct wave interference in GPR data using adaptive interference canceling[J].Chinese Journal of Radio Science,2008,23(3):223-227.
    [17]
    Easley G,Labate D,Lim Wang-Q.Sparse directional image representations using the discrete shearlet transform[J].Applied and Computational Harmonic Analysis,2008,25(1):25-46.
    [18]
    Giannopoulos A.Modelling ground penetrating radar by GprMax[J].Construction and Building Materials,2005,19:755-762. 
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (822) PDF downloads(214) Cited by()
    Proportional views

    Beijing ICP backup 05066826

    Address： Office Building 3, China University of Mining and Technology (Beijing), No. 11, Xueyuan Road, Haidian District, Beijing

    Tel： 010-62339662, 010-62339897, 010-62339528Email： kykxxb@cumtb.edu.cn

    Supported by: Beijing Renhe Information Technology Co. Ltd  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return