基于Curvelet变换阈值法的地震数据去噪方法  

Seismic Data Denoise Based on Curvelet Transform with the Threshold Method

作　　者：仝中飞[1] 王德利[1] 刘冰[1] 

机构地区：[1]吉林大学地球探测科学与技术学院

出　　处：《吉林大学学报（地球科学版）》2008年第S1期48-52,共5页Journal of Jilin University：Earth Science Edition

摘　　要：Curvelet变换是一种新的多尺度几何分析方法,属于稀疏函数表示理论的范畴,较之小波和脊波,它能更好地解决高维函数的特征表示问题,对于曲线奇异性特征从理论上能达到最优的表示效果。将Curvelet变换用于地震数据去噪,概述了Curvelet变换的基本原理,介绍了阈值法去噪的概念;对模拟加入随机噪声的地震数据进行了Curvelet阈值法去噪处理,并对比了不同信噪比下的去噪效果。实验结果表明Curvelet变换阈值法去噪效果明显,且有效信号损失少,是一个切实可行的去噪方法。Curvelet transform is a new multiscale analysis method,it belongs to the range of sparsity represent theory.Compare to wavelet and ridgelet,it can solve the characteristic represent of higher dimension,and it can acquire theoretically the best expression as to curve singularity characteristic.This paper uses curvelet transform in seismic data denosie,summarizes the principle of curvelet transform,introduces the concept of threshold method denoising.We have made curvelet transform to the data including noise,and achieved effective denoising by choosing appropriate threshold.At the same time,we have compared the denoising effects of different signal to noise ratio.The result indicates that the denoising based on curvelet transform can have obvious effect,and it do not loss signal.As a result,it is a practicable method of denoise.

关 键 词：CURVELET变换 阈值法 地震数据 去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]