Parabolic-Trace Time-Frequency Peak Filtering for Seismic Random Noise Attenuation
Parabolic-Trace Time-Frequency Peak Filtering for Seismic Random Noise Attenuation
复制标题
用于地震随机噪声衰减的抛物线迹时频峰值滤波
DOI：
10.1109/lgrs.2013.2250906
复制
发表时间：
2014-01-01
影响因子：
4.8
通讯作者：
Li, Yue
中科院分区：
文献类型：
--
作者：
Tian, Yanan;Li, Yue
近年来，时频峰值滤波（TFPF）被应用于地震随机噪声的抑制。在传统的TFPF中，对所有频率的信号都使用固定的窗长（WL）。不同频率的信号具有不同的最优wl。固定的WL不能有效地衰减所有频率信号的随机噪声。在这封信中，我们提出了一个非线性抛物-轨迹TFPF （PT-TFPF）来解决这个问题。该方法通过沿抛物线轨迹对地震记录进行重采样，提取新的数据矩阵。它包含了地震记录的时空信息，并作为TFPF的新输入。在每个数据序列中，有效信号的线性度得到改善，改善的程度与滤波轨迹与事件的相似性有关。此外，有效信号的主导频率被集中到相似的频率上。因此，固定的WL可以有效地衰减随机噪声，并且失真较小。基于Canny边缘检测算法选择最优滤波路径。最后，通过综合记录和现场数据验证了该方法的有效性。实验结果表明，所提出的PT-TFPF比传统的TFPF具有更好的性能。
Time-frequency peak filtering (TFPF) has been applied to seismic random noise attenuation in recent years. In the conventional TFPF, a fixed window length (WL) is used for all frequencies signals. Different frequencies signals have different optimal WLs. A fixed WL cannot effectively attenuate random noise for all frequencies signals. In this letter, we present a nonlinear parabolic-trace TFPF (PT-TFPF) to resolve this problem. In the novel approach, a new data matrix is extracted by resampling seismic record along some parabolic traces. It contains both temporal and spatial information of the seismic record and is taken as the new input of TFPF. In each data sequence, the linearity of the effective signals is improved and the degree of improvement is associated with the similarity of the filtering trace to the event. In addition, the dominant frequencies of the effective signals are concentrated to be similar. Thus, a fixed WL can effectively attenuate the random noise with less distortion. The optimal filtering traces are selected based upon the Canny edge detection algorithm. Finally, the effectiveness of the proposed approach is tested on the synthetic record and field data. The experimental results show that the proposed PT-TFPF has better performance than the conventional TFPF.