Marine seismic signal denoising using VMD with Hausdorff distance and wavelet transform

Abhishek Kesharwani, Vaibhav Aggarwal, Shubham Singh, Rahul B R and Arvind Kumar

The Journal of Defense Modeling and Simulation, 2022, vol. 19, issue 4, 739-746

Abstract: In marine seismic acquisitions, signal interference remains a major menace. In this paper, a denoising approach based on the Variational Mode Decomposition (VMD) combined with the Hausdorff distance (HD) and Wavelet transform (WT) is proposed. There has been substantial research in this field over the years. However, traditional denoising methods fall short of achieving satisfactory results in an extremely low signal to noise ratio (SNR) environment. The feasibility, and stability of the proposed method was validated by performing simulations in MATLAB on both a synthetic signal and a seismic signal generated using real dataset. It was found that the proposed method does well in preserving marine signals in low SNR environments, and has a superior output SNR.

Keywords: Variational mode decomposition; VMD; Hausdorff distance; HD; wavelet transform; WT; SNR; MATLAB; synthetic signal; seismic signal; low SNR (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:joudef:v:19:y:2022:i:4:p:739-746

DOI: 10.1177/15485129211036044

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