Applications of Savitzky-Golay Filter for Seismic Random Noise Reduction

• Autorzy: Liu Y. , Dang B. , Li Y. , Lin H. , Ma H.

Identyfikatory

DOI

10.1515/acgeo-2015-0062

• Języki publikacji: EN

Abstrakty

EN

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 leastsquares 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.

Słowa kluczowe

EN

noise reduction; signal; seismic data; SG filter; seismic random; synthetic seismic

PL

redukcja szumów; sygnał; dane sejsmiczne

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2016
• Tom: Vol. 64, no. 1
• Strony: 101--124
• Opis fizyczny: Bibliogr. 36 poz.

Twórcy

autor

Liu Y.

• College of Electronic Engineering, Xi’an Shiyou University, Xi’an, China

autor

Dang B.

• College of Electronic Engineering, Xi’an Shiyou University, Xi’an, China

autor

Li Y.

• College of Communication Engineering, Jilin University, Changchun, China

autor

Lin H.

• College of Communication Engineering, Jilin University, Changchun, China

autor

Ma H.

• College of Communication Engineering, Jilin University, Changchun, China

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