ABSTRACT Obtaining geological information from seismic data motivates researchers to innovate and improve seismic wave processing tools. Polarization‐based methods have received much attention regarding their ability to discriminate between different phases of the seismic wave based on polarity. Combining the intuitive definition of polarity in the frequency domain (monochromatic waves) with the non‐stationary properties provided by time‐domain methods, time‐frequency approaches are attracting widespread interest because they localize the information extracted from the seismic waves in the joint time and frequency domains. Due to the lack of high‐resolution time‐frequency maps, the time‐frequency polarization approach was not able to resolve specific temporal polarity changes in the seismic signal. The main objective of this study was to devise a robust time‐frequency‐based polarization filtering method using high‐resolution polarization attributes obtained directly from the sparse time‐frequency map without using Eigen analysis or analytic signals. The method proposed here utilizes a computationally effective sparsity‐based adaptive S‐transform to obtain a high‐resolution polarization map of an inherently non‐stationary seismogram for the entire frequency content of the signal at different times. The superiority of the proposed method over the S‐transform method was verified using synthetic and real data sets to calculate the polarization attributes in the time‐frequency domain and separate the Rayleigh waves from the seismogram.

中文翻译：

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使用高分辨率时频偏振滤波器的瑞利波分离

摘要 从地震数据中获取地质信息激励研究人员创新和改进地震波处理工具。基于极化的方法因其基于极性区分地震波不同相位的能力而备受关注。将频域（单色波）中极性的直观定义与时域方法提供的非平稳特性相结合，时频方法引起了广泛的兴趣，因为它们将地震波中提取的信息定位在联合时间和频域。由于缺乏高分辨率的时频图，时频极化方法无法解析地震信号中特定的时间极性变化。本研究的主要目的是设计一种鲁棒的基于时频的极化滤波方法，使用直接从稀疏时频图中获得的高分辨率极化属性，而不使用特征分析或分析信号。这里提出的方法利用计算上有效的基于稀疏性的自适应 S 变换来获得不同时间信号整个频率内容的固有非平稳地震图的高分辨率极化图。使用合成和真实数据集来计算时频域中的极化属性并将瑞利波与地震图分离，验证了所提出的方法相对于 S 变换方法的优越性。