地震资料中随机强噪声压制——时频峰值滤波
摘要
时频峰值滤波对于地震资料中随机强噪声具有高效的压制能力.针对实际地震资料其平稳高斯白噪假设无法满足的现实,结合理论证明与合成地震资料检测,认识到时频峰值滤波后对不同强度的白、色噪声均具有很强的压制能力,但存在有效信号"零漂"现象,这种"零漂"现象与随机噪声平均功率和方差无关,却与均值有关.进而考虑实际地震资料中局部线性化不绝对满足的情况,以三角波为例研究了时频峰值滤波后有效信号的波形"变形"特征,发现有效三角波信号可能存在频带过补偿现象,且这种过补偿现象具有非对称性并与时变曲率密切相关.这些结果为进一步完善时频峰值滤波指明了方向.
引文
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17邓小英,杨顶辉,刘涛,等.最小二乘支持向量回归滤波系统性能分析.地球物理学报,2010,53:2004-2011
18Deng X Y,Yang D H,Liu T,et al.Study of least squares support vector regression filtering technology with a new2D Ricker wavelet kernel.J Seism Explor,2011,20:161-176
19Boashash B,Mesbah M.Signal enhancement by time-frequency peak filtering.IEEE Trans Signal Proc,2004,52:929-937
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21Zhang Z J,Wang G J,Harris J M.Multicomponent wavefield simulation in viscous extensively dilatancy anisotropic media.Phys Earth Planet Inter,1999,114:25-38
22张贤达.现代信号处理.北京:清华大学出版社,2003.58
2张中杰.多分量地震资料的各向异性处理和解释方法.哈尔滨:黑龙江教育出版社,2002.128
3Duncan G,Beresford G.Median filter behavior with seismic data.Geophys Prospect,1995,43:329-345
4Yuan S Q,Tan Y H.The solutions of equation-based noise detector for an adaptive median filter.Pattern Recognit,2006,39:2253-2257
5Lu W K,Zhang W P,Liu D Q.Local linear coherent noise attenuation based on local polynomial approximation.Geophysics,2006,71:163-169
6Lu W K.Adaptive noise attenuation of seismic images based on singular value decomposition and texture direction detection.J Geophys Eng,2006,3:28-34
7Maiza B,Mirko V D B.Local singular value decomposition for signal enhancement of seismic data.Geophysics,2007,72:59-65
8Donoho D.De-noising by soft-thresholding.IEEE Trans Inf Technol,1995,3:631-627
9Zhang R F,Tadeusz J U.Physical wavelet frame denoising.Geophysics,2003,68:225-231
10杨立强,宋海斌,郝天珧,等.基于二维小波变换的随机噪声压制方法研究.石油物探,2005,44:4-6
11Michael J.Edge preserving filtering on3-D seismic data using complex wavelet transforms.SEG Technical Program Expanded Abstracts,2006.2872-2876
12Liu C,Liu Y,Yang B J,et al.A2D multistage median filter to reduce random seismic noise.Geophysics,2006,71:105-110
13李月,杨宝俊,袁野,等.混沌振子检测系统的弱有效地震信号检测能力.科学通报.2006,51:1710-1716
14Chen Y,Zhang Z J,Tian X B.Complex polarization analysis based on Windowed Hilbert transform and its application.Chin J Geophys,2005,48:889-895
15Felix J H,Wang D L,Gilles H,et al.Curvelet-based seismic data processing:A multiscale and nonlinear approach.Geophysics,2008,73:A1-A5
16Deng X Y,Yang D H,Peng J M,et al.Noise reduction and drift removal using least squares support vector regression with implicit bias term.Geophysics,2010,75:119-127
17邓小英,杨顶辉,刘涛,等.最小二乘支持向量回归滤波系统性能分析.地球物理学报,2010,53:2004-2011
18Deng X Y,Yang D H,Liu T,et al.Study of least squares support vector regression filtering technology with a new2D Ricker wavelet kernel.J Seism Explor,2011,20:161-176
19Boashash B,Mesbah M.Signal enhancement by time-frequency peak filtering.IEEE Trans Signal Proc,2004,52:929-937
20Lin H B,Li Y,Yang B J.Recovery of seismic event by time-frequency peak filtering.Proceedings of IEEE International Conference on Image Processing,Sep16-19.San Antonio,USA,2007.V:441-444
21Zhang Z J,Wang G J,Harris J M.Multicomponent wavefield simulation in viscous extensively dilatancy anisotropic media.Phys Earth Planet Inter,1999,114:25-38
22张贤达.现代信号处理.北京:清华大学出版社,2003.58
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