石油物探2012，Vol.51Issue(4)：343-349,7.DOI:10.3969/j.issn.1000-1441.2012.04.004
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
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.关键词
方向金字塔/均值滤波/拉普拉斯概率密度函数/叠前随机噪声衰减Key words
steerable pyramid/ mean filter/ Laplace probability density function/ prestack random noise attenuation分类
天文与地球科学引用本文复制引用
王江,曹俊兴,刘力辉..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[J].石油物探,2012,51(4):343-349,7.基金项目
国家自然科学基金项目(40930424)资助. （40930424）
