线性域SVD地震波场分离与去噪方法
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摘要
由于不同性质的地震信号之间在传播特性、视速度和相干性上存在差异,依赖地震信号视速度信息,借助线性变换(如NMO、线性动校正等)手段,把有效信号或干扰信号校平,使之在横向上达到最佳相干性,目的是把有效信号或干扰信号转换到一种在横向上相干性更理想的处理域中,然后通过SVD,提取目标信号的奇异值重构信号,从而实现地震波场分离与去噪
Due to the differences of propagation characteristics,apparent velocity and coherence in seismic signals,based on apparent velocities,the authors aligned target signals into those of best horizontal coherence by linear transform methods(such as NMO,linear moveout correction,etc.).By means of singular value decomposition(SVD),reconstructed signals by extracting the singular values of target signals.Then through inverse linear transforming,accomplished seismic wave field separation as well as noise attenuation afterwards.
引文
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