NS2NS: Self-Learning for Seismic Image Denoising-Reference-Cited by-同舟云学术

NS2NS: Self-Learning for Seismic Image Denoising

Author:

Liu Naihao¹^ORCID,Wang Jiale²,Gao Jinghuai¹^ORCID,Yu Kai³,Lou Yihuai⁴^ORCID,Pu Yitao⁵^ORCID,Chang Shaojie⁶^ORCID

Affiliation:

1. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China

2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

3. Capiticalonline Data Service Company Ltd., Beijing, China

4. Center for Hypergravity Experimental and Interdisciplinary Research, Zhejiang University, Hangzhou, China

5. Department of Geological Sciences, University of Alabama, Tuscaloosa, AL, USA

6. Department of Radiology, Mayo Clinic, Rochester, MN, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference54 articles.

1. GAN2GAN: Generative noise learning for blind denoising with single noisy images;cha;arXiv 1905 10488,2019

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

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