期刊
ACTA GEOPHYSICA
卷 64, 期 1, 页码 101-124出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1515/acgeo-2015-0062
关键词
SG filter; seismic random noise reduction; synthetic seismic signals; field seismic data
资金
- National Natural Science Foundation of China [41174160, 41130421, 41274118]
This article utilizes Savitzky-Golay (SG) filter to eliminate seismic random noise. This is a novel method for seismic random noise reduction in which SG filter adopts piecewise weighted polynomial via least-squares estimation. Therefore, effective smoothing is achieved in extracting the original signal from noise environment while retaining the shape of the signal as close as possible to the original one. Although there are lots of classical methods such as Wiener filtering and wavelet denoising applied to eliminate seismic random noise, the SG filter outperforms them in approximating the true signal. SG filter will obtain a good tradeoff in waveform smoothing and valid signal preservation under suitable conditions. These are the appropriate window size and the polynomial degree. Through examples from synthetic seismic signals and field seismic data, we demonstrate the good performance of SG filter by comparing it with the Wiener filtering and wavelet denoising methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据