BSnet: An Unsupervised Blind Spot Network for Seismic Data Random Noise Attenuation-Reference-Cited by-同舟云学术

BSnet: An Unsupervised Blind Spot Network for Seismic Data Random Noise Attenuation

Author:

Fang Wenqian¹,Fu Lihua²^ORCID,Li Hongwei²^ORCID,Liu Shaoyong³^ORCID,Wang Qin²

Affiliation:

1. School of Mathematics and Physics and the Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

2. School of Mathematics and Physics, China University of Geosciences, Wuhan, China

3. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

Funder

National Key Research and Development Program of China

Science and Technology Research Project of Hubei Provincial Department of Education

Hubei Subsurface Multi-Scale Imaging Key Laboratory, China University of Geosciences

Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference40 articles.

1. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc 32nd Int Conf Mach Learn (ICML),2015

2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

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