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Deep denoising autoencoder for seismic random noise attenuation

Geophysics, v.85 no.4, 2020년, pp.V367 - V376  

Saad, Omar M. (Zhejiang University, School of Earth Sciences, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Zhejiang 310027, China and NRIAG, Seismology Department, ENSN Lab, Helwan 11731, Egypt..) ,  Chen, Yangkang (Zhejiang University, School of Earth Sciences, Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, Zhejiang 310027, China.(corresponding author).)

Abstract AI-Helper 아이콘AI-Helper

Attenuation of seismic random noise is considered an important processing step to enhance the signal-to-noise ratio of seismic data. A new approach is proposed to attenuate random noise based on a deep-denoising autoencoder (DDAE). In this approach, the time-series seismic data are used as an input...

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