Title :
Non-subsampled Contourlet Transform Based Seismic Signal De-noising
Author :
Li, Yang ; Yuan, Chun ; Zhong, Yuzhuo ; Wang, Yibo
Author_Institution :
Shenzhen Grad. Sch., Tsinghua Univ., Shenzhen, China
fDate :
March 31 2009-April 2 2009
Abstract :
Surface waves are one of the main types of coherent noise in seismic surveys, and standard filtering methods, such as F-K filtering, are not always effective. In this paper, we describe a non-subsampled contourlet transform (NSCT) based method for surface wave de-noising. The NSCT works like a "local F-K filter" and is implemented in time spatial domain. Compared to other surface wave filtering methods, the NSCT provides a platform for precise processing of the surface wave and can deal with aliasing data. Land seismic field data contaminated by high energy surface waves is used to test the effectiveness of this method. Preliminary results suggest that surface waves can be mostly attenuated by this method.
Keywords :
filtering theory; seismic waves; signal denoising; transforms; vibrations; high energy surface; land seismic field data; local F-K filter; nonsubsampled contourlet transform; seismic signal denoising; surface wave denoising; surface wave filtering methods; Computed tomography; Filter bank; Information filtering; Information filters; Noise reduction; Signal denoising; Signal processing; Surface contamination; Surface waves; Wavelet transforms;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.801
