Prestack seismic random noise attenuation using the wavelet-inspired invertible network with atrous convolutions spatial pyramid

Convolutional Neural Network (CNN) is widely used in seismic data denoising due to its simplicity and effectiveness.However, traditional seismic denoising methods based on CNN ignore multi-scale features of seismic data in the wavelet domain.The lack of these features will decrease the accuracy of denoising results.To address this barrier, a Oven T

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