WEI Jia,YUE Long,YANG Rui,et al. Random noise suppression of marine seismic data based on improved generalized S transform[J]. Marine Geology & Quaternary Geology,2022,42(3):184-193. DOI: 10.16562/j.cnki.0256-1492.2021072801
Citation: WEI Jia,YUE Long,YANG Rui,et al. Random noise suppression of marine seismic data based on improved generalized S transform[J]. Marine Geology & Quaternary Geology,2022,42(3):184-193. DOI: 10.16562/j.cnki.0256-1492.2021072801

Random noise suppression of marine seismic data based on improved generalized S transform

  • Conventional generalized S transform (GST) uses fixed parameters for Gaussian window, which makes it impossible to take into account the high and low frequency signals in the time-frequency analysis. At the same time, the standard S inverse transform produces filtering noise when filtering in the time-frequency domain. In this paper, a generalized S transform based on variable frequency Gaussian window is proposed, and the inverse S transform formula is revised. This method not only improves the focus of the frequency spectrum of the signal, but also eliminates the filtering noise. By calculating the instantaneous signal-to-noise ratio threshold value of the signal containing random interference noise, and according to different threshold values, the processing strategy of suppressing the random noise is selected in a targeted manner. The processing results of synthetic data and actual seismic data show that the method can effectively suppress random noise and improve the signal-to-noise ratio of seismic data.
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