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基于方向金字塔分解与均值滤波联合的叠前地震数据随机噪声压制
Random noise attenuation on prestack seismic data by joint application of steerable pyramid decomposition and mean filter
【摘要】 在方向金字塔多尺度、多方向分解原理的基础上,提出了基于局部拉普拉斯概率密度模型和最大后验概率估计的随机噪声压制方法,该方法能够压制大部分随机噪声,但信号局部存在畸变和残余噪声。均值滤波具有图像平滑的作用,可以消除信号畸变,压制残余噪声,因此提出了方向金字塔分解与均值滤波联合的随机噪声压制方法。数值模拟实验和实际应用效果表明,该方法能有效压制随机噪声,提高地震资料的信噪比。
【Abstract】 Based on the principles of steerable pyramid decomposition in multi-scale & multi-direction,the random noise attenuation method on the basis of local Laplace probability density model and maximum posteriori probability estimation was proposed.The method can suppress most random noise,but introduces the distortion and residual noise in local signals.Since the mean filter can smooth maps,it can eliminate the signal distortion and suppress the residual noise.So we jointly applied the two methods to attenuate random noise.Numerical simulation and practical application results show that the new method can effectively suppress random noise and improve the signal-to-noise ratio of seismic data.
【Key words】 steerable pyramid; mean filter; Laplace probability density function; prestack random noise attenuation;
- 【文献出处】 石油物探 ,Geophysical Prospecting for Petroleum , 编辑部邮箱 ,2012年04期
- 【分类号】P631.44
- 【被引频次】2
- 【下载频次】89