滤波类方法衰减地震数据噪声

doi:10.6038/pg2018CCOO84

摘要/Abstract

摘要：

信噪比是衡量地震数据质量的重要指标之一,在地震数据处理中起着重要的作用.目前去噪方法种类有许多,本文详细综述了滤波类方法的基本原理和发展历程,具有理论价值与指导意义.本文研究的方法包括压制规则噪声的聚束滤波,径向道滤波,f-k域滤波,匹配滤波和压制随机噪声的预测滤波,时频峰值滤波,非局部均值滤波,中值滤波,方向可控滤波,扩散滤波.基于对滤波类去噪方法的分析,提出了对滤波类方法未来发展的展望.

关键词: 信噪比, 规则噪声, 随机噪声, 去噪方法

Abstract:

SNR is an important standard to measure the quality of seismic data and it plays an important role in seismic data processing. At present, there are many kinds of denoising methods. The paper gives a detailed summarize of the basic principles and development history of filtering methods.The filtering methods including bunching filtering, radial trace filtering, f-k domain filtering,matching filtering for suppression of coherent noise and prediction filtering, time-frequency peak filtering, non-local mean filtering, median filtering, steerable filtering, diffusion filtering for attenuation of random noise. Finally, we based on the analysis of filtering denoising methods and point out the prospects for future development of filtering denoising methods.

Key words: SNR, coherent noise, random noise, denoising method

中图分类号:

P631

国胧予, 刘财, 刘洋. 2018. 滤波类方法衰减地震数据噪声. 地球物理学进展, 33(5): 1890-1896. doi: 10.6038/pg2018CCOO84.

GUO Long-yu, LIU Cai, LIU Yang. 2018. Filtering methods attenuate seismic data noise. Progress in Geophysics. 33(5): 1890-1896. doi: 10.6038/pg2018CCOO84.

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