Spatiotemporal Time–Frequency Peak Filtering Method for Seismic Random Noise Reduction
Spatiotemporal Time–Frequency Peak Filtering Method for Seismic Random Noise Reduction
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DOI：
10.1109/lgrs.2012.2221676
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发表时间：
2013-07
影响因子：
4.8
通讯作者：
Yanping Liu;Yue Li;Pengfei Nie;Qian Zeng
中科院分区：
文献类型：
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作者：
Yanping Liu;Yue Li;Pengfei Nie;Qian Zeng
时频峰值滤波（TFPF）是一种有效的地震随机噪声抑制方法。为了实现更高水平的地震记录噪声抑制，我们提出了一种新的方法，其中我们在Radon域中应用TFPF方法。这种方法称为时空TFPF，可以应用于不同类型的Radon变换（线性，抛物线等）。这取决于反射的几何形状。该方法类似于脊波的原理，即在线性Radon域做一维小波，从而在滤波过程中引入一个代表方向的参数。脊波虽然对具有线性变化特征的反射波同相轴具有很好的处理能力，但对于曲线同相轴，脊波的处理效果并不理想。考虑到这一点，并考虑到TFPF的优越性，提出了如前所述的新方法。从而打破了在线性Radon域进行滤波的局限性，使滤波更加灵活，发挥了TFPF去噪的优势。利用合成和真实的地震数据，我们表明，新方法在随机噪声的抑制和更高的连续性和清晰的反射同相轴相比，传统的TFPF的性能更好。
The time-frequency peak filtering (TFPF) is an effective method for seismic random noise reduction. To achieve a higher level of noise suppression in seismic records, we propose a novel approach in which we apply the TFPF method in Radon domain. This method, called spatiotemporal TFPF, can be applied with different types of Radon transforms (linear, parabolic, etc.) depending on the geometry of the reflection. The new method is similar to the principle of ridgelet, which is doing 1-D wavelet in linear Radon domain so that there is a parameter representing direction brought in the filtering process. Although the ridgelet has the wonderful ability to process reflection events with linearly changing characteristics, for curving events, it shows lack of effectiveness. With this in mind, and taking the superiority of TFPF into consideration, the new method as mentioned previously is proposed. Thus, it breaks the limitation of doing filtering in linear Radon domain to make the filtering more flexible and plays the advantage of TFPF in denoising. Using both synthetic and real seismic data, we show the better performance of the new method in random noise reduction and higher continuity and clarity of reflection events compared to the conventional TFPF.