摘要：

在线性系统假设下，根据地震记录估计地震子波和反射系数序列是一个典型的盲反卷积过程。针对带状独立分量分析反卷积方法对噪声敏感的缺点，提出一种的基于高斯矩的噪声带状独立分量分析反卷积方法，并利用邻近道间的相关信息实施子波提取。实验结果表明，对于带噪地震数据的盲反卷积，该算法性能更优。

关键词: 盲反卷积, 带状独立分量分析, 噪声带状独立分量分析, 高斯矩

Abstract:

On the hypothesis of linear system, it is a typical process of blind deconvolution for the estimation of seismic wavelet and reflectivity sequence with the observations. As sensitivity to noise for Banded Independent Component Analysis(BICA), a method called Noisy Banded Independent Component Analysis(NBICA) based on Gaussian moment is proposed, with its robustness to noise. The information between adjacent seismic traces is used for wavelet extraction. Experimental result shows that the efficiency of the method is better.

Key words: blind deconvolution, Banded Independent Component Analysis(BICA), Noisy Banded Independent Component Analysis(NBICA), Gaussian moment

中图分类号: 

• TP911.72