交通运输工程与信息学报2011，Vol.9Issue(2)：86-91,6.
基于Curvelet变换阈值法的地震数据插值和去噪
Curvelet Thresholding for Seismic Data Denoising and Interpolating
摘要
Abstract
The success of signal denoising and separating depends largely on the ability of a transform to sparsely represent a particular type of a signal. In fact, the sparser the transformation is, the better denoising result will be achieved from the coefficient shrinkage. Curvelet transform is a multi-scale directional transform, which allows an almost optimal non-adaptive sparse representation for seismic data. Recent research has shown that the method of curvelet thresholding could suppress the random noise more effectively and achieve a higher ratio of signal to noise than the traditional methods, such as wavelet denoising. At the same time, it overcame the drawback that the conventional filtering approach might affect the effective wave when suppressing noise. In this paper, we proposed a new iterative interpolation idea based on curvelet thresholding to reconstruct seismic data with missing traces. Application of this method to interpolation and noise removal problems on incomplete seismic data demonstrated that the proposed mothod could obtain a fine reconstructed result and effectively attenuate the random noise for the case without seismic data missing.关键词
Curvelet变换/阈值去噪/地震数据插值分类
天文与地球科学引用本文复制引用
薛念,周黎霞,尹忠科..基于Curvelet变换阈值法的地震数据插值和去噪[J].交通运输工程与信息学报,2011,9(2):86-91,6.基金项目
该课题为国家科技重大专项子课题(2008ZX05046)、国家自然科学基金(60772084)资助. （2008ZX05046）
