Abstract:

Aiming at effectively extracting the event information of seismic signal and solving the issues that the Hemite-Gauss steerable filters have an intrinsic limit which the same amount of smoothing is made in all directions due to the isotropic Gaussian factor, the EHGFs(Elongated Hemite-Gauss Functions) are proposed.This method considers that the desired signal is different from random noise in direction characteristic, generate EHGFs steerable filters by the approximate fitting, which can improve the linearity of the signal and filter along the event to get directional filtered data with less smoothing effect. Then we reconstruct the data on the basis of the digital local features to denoise. Experiment results indicate that this method can significantly suppress random noise and keep the useful signal in seismic processing.

Key words: steerable filter, elongated hemite-gauss functions(EHGFs), random noise, approximate fitting