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为进行合适的同相迭加,在应用动校正所必需的最佳“拉直”的自动确定中,有明显的干涉时,平均处理(由于单个同相轴的随机特性)的统计“涂抹”(Smear)导致令人讨厌的结果。为取得较好结果而精心计算,需要长的计算时间,对小计算机来说,这是吃不消的。目前解决这一问题的方法是接受质量较低的结果,否则就只能作半自动操作。然而,如果对通过多道处理识别同相轴,也就是对用动校正、扇形带通滤波、包络母线和拾取等识别同相轴给与特别的注意,可以得到好得多的结果。从最终迭加剖面中提高信噪比来看,改善是显著地。而且,在确定速度函数时,使用者的参与可大为减少。
For proper in-phase stacking, the statistical “smear” of the averaging process (due to the random nature of a single in-phase axis) in the case of significant interference in the optimal “straightening” ) Leads to annoying results. Careful calculation to achieve good results requires a long calculation time, which is not enough for a small computer. The current solution to this problem is to accept lower quality results, otherwise only semi-automatic operation. However, much better results can be obtained if the identification of events by multi-pass processing, that is, the identification of events with dynamic correction, sector bandpass filtering, envelope buses and pick-ups, is of particular interest. From the point of increasing the signal-to-noise ratio in the final superimposed profile, the improvement is significant. Moreover, the user’s participation can be greatly reduced in determining the speed function.