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地震数据往往受噪声干扰,影响有效反射波的识别,因此提高地震资料信噪比在数据处理中尤为重要,我国在此方面研究已经取得进展.结构化匹配追踪算法是一种采用原子字典分组式及树状结构搜索的全局结构化算法,具有运算效率高、速度快的特点.本文在分析结构化匹配追踪算法的基础上提出基于该算法的地震资料去噪技术,根据反射波信号与噪声信号的频段差异,对分解得到的时频原子设置阈值频段,去除含噪成分,从而达到去噪目的.与常规去噪技术相比,该技术精准、快速地分解地震反射波信号与噪声信号,最大限度地减小对地震反射波信号的损害.
Therefore, it is very important to improve the signal to noise ratio (SNR) of seismic data in the field of data processing.Our country has made some progress in this aspect.Structural matching pursuit algorithm is a method of using atom dictionary grouping And tree-structured search of the overall structure of the algorithm has the advantages of high computational efficiency, high speed.Based on the analysis of structured matching pursuit algorithm, the seismic data denoising technology based on the algorithm is proposed, according to the reflected signal and the noise signal , The threshold frequency band is set to the decomposed time-frequency atom to remove the noisy components, so as to achieve the purpose of denoising.Compared with the conventional denoising technique, the technique decomposes the seismic reflection signal and the noise signal accurately and rapidly, and the maximum Minimize the damage to the seismic reflection signal.