Noise Attenuation for CSEM Data via Deep Residual Denoising Convolutional Neural Network and Shift-Invariant Sparse Coding

To overcome the interference of noise on the exploration effectiveness of the controlled-source electromagnetic method (CSEM), we improved the deep learning algorithm by combining the denoising convolutional neural network (DnCNN) with the residual network (ResNet), and propose a method based on the...

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Detalhes bibliográficos

Principais autores:	Xin Wang, Ximin Bai, Guang Li, Liwei Sun, Hailong Ye, Tao Tong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-09-01
coleção:	Remote Sensing
Assuntos:	controlled-source electromagnetic method (CSEM) denoising convolutional neural network (DnCNN) residual network (ResNet) shift-invariant sparse coding (SISC) deep learning denoising
Acesso em linha:	https://www.mdpi.com/2072-4292/15/18/4456
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