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基于二次小波变换的地震信号去噪方法 被引量:17

Noise-eliminated method for seismic signal based on second wavelet transform
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摘要 本文在Donoho的小波域阈值去噪处理方法基础上,提出一种基于二次小波变换的地震信号去噪方法,该法是对地震信号进行多尺度小波变换,然后对主要由噪声控制的尺度1上的小波系数再进行第二次多尺度小波变换,并将二次小波变换后的尺度1上的小波系数置零,将其余尺度上的小波系数重构,最后对处理后地震剖面进行小波域阈值去噪处理。通过理论模型和实际资料的处理结果表明,本文所述方法能有效地改善地震剖面处理效果。 On the basis of Donoho's wavelet threshold noise-eliminated processing method,the paper presented a noise-eliminated method for seismic signal based on second wavelet transform.The multi-scale wavelet transform is carried out for seismic signal in the method,then second multi-scale wavelet transform is carried out again for wavelet coefficients in scale 1 mainly controlled by noises,zero is set for wavelet coefficient in scale 1 after second wavelet transform and reconstruction of wavelet coefficients in other scales is carried out,finally,the wavelet threshold noise-eliminated processing is carried out for seismic section after above-mentioned processing.The results of theoretical model and practical data processing showed that the method presented by the paper can effectively improve processing quality of seismic sections and S/N ratio of seismic data.
作者 付燕
出处 《石油地球物理勘探》 EI CSCD 北大核心 2005年第2期154-157,共4页 Oil Geophysical Prospecting
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参考文献4

  • 1Donoho D. De-noising by soft-thresholding. IEEE Trans on IT,1995,3:613-627.
  • 2Mallat S G. Characterization of signals from multiscales edges. NYU, Computer Science Tech Reprot,1991.
  • 3Mallat S G. A theory form multiresolution signal decomposition : the wavelet representation. IEEE rrans PAMI ,1989 ,11 -674-693.
  • 4Mallat S Get al. Singularity detection and processing with wavelets. IEEE Trans on Information Theory,1992,38(2): 617- 643.

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