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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction
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Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction

机译：基于变分模式分解的沙漠地震数据的低频噪声抑制和低秩分量提取

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摘要

In desert seismic records, random noise with complex characteristics such as nonstationary, non-Gaussian, nonlinear, and low-frequency will contaminate effective signals, which will greatly reduce the continuity and resolution of the seismic events. In order to achieve the requirements of high signal-to-noise ratio (SNR), high resolution, and high fidelity of seismic records after denoising, and to obtain high quality seismic exploration data, we present a method for suppressing low-frequency noise of desert seismic data, which combines variational mode decomposition (VMD) with low-rank matrix approximation algorithm. This method can further avoid the effect of spectrum aliasing on the denoising results because of using VMD. At first, the proposed method decomposes seismic signals into different modes by VMD and then arranges all modes into a signal matrix. An algorithm named OptShrink is used to extract the low-rank noise components, and great denoising effect is achieved by making a difference between the low-rank noise components and the original seismic record. The method is applied to synthetic desert seismic data and real desert seismic data. The experimental results show that the denoising effect of this method is better than that of previous methods in desert low-frequency noise. The effective signal remains intact, the resolution and continuity of the seismic events are improved obviously. The suppression of surface wave is also very thorough.
机译：在沙漠地震记录中，随机噪声具有复杂的特性，如非观，非高斯，非线性和低频将污染有效信号，这将大大降低地震事件的连续性和解决。为了达到高信噪比（SNR），高分辨率和震动后的高保真度的要求，并获得高质量的地震勘探数据，我们提出了一种抑制低频噪声的方法沙漠地震数据，将变分模式分解（VMD）与低秩矩阵近似算法相结合。该方法可以进一步避免由于使用VMD而对去噪结果的频谱混叠对去噪结果的影响。首先，该方法通过VMD将地震信号分解成不同模式，然后将所有模式布置成信号矩阵。使用名为OptShrink的算法用于提取低秩噪声分量，并且通过在低级噪声分量和原始地震记录之间的差异之间实现了大的去噪效果。该方法应用于合成沙漠地震数据和真实沙漠地震数据。实验结果表明，该方法的去噪效果优于过去荒漠低频噪声的先前方法。有效信号保持完整，地震事件的分辨率和连续性显而易见。表面波的抑制也非常彻底。

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