Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 17, Issue 9, Pages 1637-1641Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2019.2949806
Keywords
Noise reduction; Signal to noise ratio; Noise measurement; Attenuation; Deconvolution; Wavelet transforms; Adaptive threshold; seismic random noise; shearlet transform; sparsity
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Funding
- Natural Science Foundation of Jiangsu Province of China [BK20181033, BK20170436]
- Science Foundation of Changshu Institute Technology [KYZ201600082]
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Random noise attenuation is an important step in seismic processing. A method with an adaptive threshold based on scale and directional characteristics of shearlet transform is proposed to attenuate seismic random noise. The method can adaptively calculate threshold according to the decomposed scales and directions, where the directional characteristics are embodied by using the L1 norm of coefficients. Compared to the universal threshold and the threshold based on scale methods only, the scale and directional threshold methods can remove random noise and reserve an effective signal to the utmost extent. The synthetic and field data examples demonstrate that the proposed method can significantly improve the denoising effect and has the stronger denoising ability.
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