ABSTRACT We present a new approach to enhancing weak prestack reflection signals without sacrificing higher frequencies. As a first step, we employ known multidimensional local stacking to obtain an approximate ‘model of the signal’. Guided by phase spectra from this model, we can detect very weak signals and make them visible and coherent by ‘repairing’ corrupted phase of original data. Both presented approaches – phase substitution and phase sign corrections – show good performance on complex synthetic and field data suffering from severe near‐surface scattering where conventional processing methods are rendered ineffective. The methods are mathematically formulated as a special case of time‐frequency masking (common in speech processing) combined with the signal model from local stacking. This powerful combination opens the avenue for a completely new family of approaches for multi‐channel seismic processing that can address seismic processing of land data with nodes and single sensors in the desert environment.

中文翻译：

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局部多维叠加引导的时频域相位校正叠前数据增强

摘要 我们提出了一种在不牺牲更高频率的情况下增强弱叠前反射信号的新方法。作为第一步，我们采用已知的多维局部堆叠来获得近似的“信号模型”。在该模型的相位谱的指导下，我们可以检测到非常微弱的信号，并通过“修复”原始数据的损坏相位使它们可见且相干。两种提出的方​​法——相位替换和相位符号校正——在复杂的合成和场数据上表现出良好的性能，这些数据遭受严重的近地表散射，而传统的处理方法变得无效。这些方法在数学上被表述为时频掩蔽（在语音处理中很常见）与来自局部堆叠的信号模型相结合的特例。