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The ridgelet transform with non-linear threshold for seismic noise attenuation in marine carbonates
Pages: 271-275
Year: Issue:  4

Keyword:  Ridgelet transformdenoisemarine stratasouth Chinanon-linear threshold;
Abstract: Wavelet transforms have been successfully used in seismic data processing with their ability for local time - frequency analysis. However, identification of directionality is limited because wavelet transform coefficients reveal only three spatial orientations. Whereas the ridgelet transform has a superior capability for direction detection and the ability to process signals with linearly changing characteristics. In this paper, we present the issue of low signal-to-noise ratio (SNR) seismic data processing based on the ridgelet transform. Actual seismic data with low SNR from south China has been processed using ridgelet transforms to improve the SNR and the continuity of seismic events. The results show that the ridgelet transform is better than the wavelet transform for these tasks.
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