自适应加权改进窗口中值滤波
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摘要
针对传统的多级二维中值滤波窗口函数及窗口大小对地震数据噪声处理存在影响,提出了一种自适应加权改进窗口多级二维中值滤波器。对传统的多级二维中值滤波窗口函数进行改进,使其具有保护线性和细节特征。在改进窗口函数的基础上,提出了自适应加权函数,加权函数的自适应性对噪声衰减和有效信号的保真奠定了基础,自适应加权改进窗口中值滤波器去除噪声明显。通过理论模型和实际数据处理的对比,表明本方法去除噪声和保护有效信号能力优于传统的二维多级中值滤波器。
Window function and window size of traditional multilevel 2D median filter influence the noise processing of seismic data.We propose an adaptive weighted improved window multilevel two-dimensional median filter.The window function of traditional multilevel 2D median filter is improved,which protects linear and minutiae feature.Based on the improvement of the window function,we propose an adaptive weighted function which lays a foundation for the noise attenuation and effective signal fidelity,so adaptive weighted improved window median filter can remove the noise significantly.Through the comparison of the theoretical model to the actual data processing,the results show that the method is superior to traditional 2D multilevel median filter in noise attenuation and effective signal protection.
Window function and window size of traditional multilevel 2D median filter influence the noise processing of seismic data.We propose an adaptive weighted improved window multilevel two-dimensional median filter.The window function of traditional multilevel 2D median filter is improved,which protects linear and minutiae feature.Based on the improvement of the window function,we propose an adaptive weighted function which lays a foundation for the noise attenuation and effective signal fidelity,so adaptive weighted improved window median filter can remove the noise significantly.Through the comparison of the theoretical model to the actual data processing,the results show that the method is superior to traditional 2D multilevel median filter in noise attenuation and effective signal protection.
引文
[1]Bednar J B.Applications of median filtering to deconvo-lution,pulse estimation,and statistical editing of seismicdata[J].Geophysics,1983,48:1598-1610.
[2]Wang Xin.On the max/median filter[J].IEEE Trans-actions on Signal Processing,1990,38(8):1473-1475.
[3]Duncan N G,Beresford G.Median filter behavior withseismic data[J].Geophysical Prospecting,1995,43(3):329-345.
[4]MI Yan-peng,LI Xin-xiang,Margrave G F.Median fil-terig in Kirchhoff migration for noisy data[J].Expand-ed Abstracts of SEG 70th Annual Meeting,Calgary,2000:822-825.
[5]ZHANG Rong-feng,Ulrych T J,Multiple suppressionbased on the migration operator and a hyperbolic medianfilter[J].Expanded Abstracts of SEG 73th AnnualMeeting,Dallas,Texas,2003:1949-1952.
[6]LIU Cai,LIU Yang,YANG Bao-jun,et al.A 2D multi-stage median filter to reduce random seismic noise[J].Geophyisics,2006,71(5):V105-V110.
[7]JIN Long,CHEN Xiao-hong.The combination of wavelettransform and nonlinear filtering for time-lapse seismicdifference analysis[J].Expanded Abstracts of SEG 78thAnnual Meeting,2008,3214-3218.
[8]LIU Yang,LIU Cai,Wang Dian.A 1D time-varying me-dian filter for seismic random,spike-like noise elimina-tion[J].Geophysics,2008,74(1):V17-V24.
[9]韩佳君,韩立国,巩向博,等.基于波动理论的近地表散射噪音衰减[J].世界地质,2008,29(2):310-313.HAN Jia-jun,HAN Li-guo,GONG Xiang-bo,et al.At-tenuation of near-suface scattering noise based on wavetheory[J].Global Geology,2008,29(2):310-313.
[10]Nieminen A.A new class of detail-preserving filters forimage processing[J].IEEE Transon PAMI,1987,9(1):74-90.
[11]Gonzalo R A.Russell E F.Detail-preserving ranked or-der based filter for image processing[J].IEEE Tran-son ASSP,1987,37(1):83-98.
[12]Justusson B I.Median filtering:statistical properties[C]//Two dimensional digital signal processing II.Berlin:Springer-Verlag,1981.
[13]刘洋,李承楚.地震资料信噪比估计的几种方法[J].石油地球物理勘探,1997,32(2):257-262.LIU Yang,LI Cheng-chu.Some methods for estimatingthe signal/noise ratio of seismic data[J].Oil Geophysi-cal Prospecting,1997,32(2):257-262.
[2]Wang Xin.On the max/median filter[J].IEEE Trans-actions on Signal Processing,1990,38(8):1473-1475.
[3]Duncan N G,Beresford G.Median filter behavior withseismic data[J].Geophysical Prospecting,1995,43(3):329-345.
[4]MI Yan-peng,LI Xin-xiang,Margrave G F.Median fil-terig in Kirchhoff migration for noisy data[J].Expand-ed Abstracts of SEG 70th Annual Meeting,Calgary,2000:822-825.
[5]ZHANG Rong-feng,Ulrych T J,Multiple suppressionbased on the migration operator and a hyperbolic medianfilter[J].Expanded Abstracts of SEG 73th AnnualMeeting,Dallas,Texas,2003:1949-1952.
[6]LIU Cai,LIU Yang,YANG Bao-jun,et al.A 2D multi-stage median filter to reduce random seismic noise[J].Geophyisics,2006,71(5):V105-V110.
[7]JIN Long,CHEN Xiao-hong.The combination of wavelettransform and nonlinear filtering for time-lapse seismicdifference analysis[J].Expanded Abstracts of SEG 78thAnnual Meeting,2008,3214-3218.
[8]LIU Yang,LIU Cai,Wang Dian.A 1D time-varying me-dian filter for seismic random,spike-like noise elimina-tion[J].Geophysics,2008,74(1):V17-V24.
[9]韩佳君,韩立国,巩向博,等.基于波动理论的近地表散射噪音衰减[J].世界地质,2008,29(2):310-313.HAN Jia-jun,HAN Li-guo,GONG Xiang-bo,et al.At-tenuation of near-suface scattering noise based on wavetheory[J].Global Geology,2008,29(2):310-313.
[10]Nieminen A.A new class of detail-preserving filters forimage processing[J].IEEE Transon PAMI,1987,9(1):74-90.
[11]Gonzalo R A.Russell E F.Detail-preserving ranked or-der based filter for image processing[J].IEEE Tran-son ASSP,1987,37(1):83-98.
[12]Justusson B I.Median filtering:statistical properties[C]//Two dimensional digital signal processing II.Berlin:Springer-Verlag,1981.
[13]刘洋,李承楚.地震资料信噪比估计的几种方法[J].石油地球物理勘探,1997,32(2):257-262.LIU Yang,LI Cheng-chu.Some methods for estimatingthe signal/noise ratio of seismic data[J].Oil Geophysi-cal Prospecting,1997,32(2):257-262.
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