Toward improved urban earthquake monitoring through deep-learning-based noise suppression

Earthquake monitoring in urban settings is essential but challenging, due to the strong anthropogenic noise inherent to urban seismic recordings. Here, we develop a deep-learning-based denoising algorithm, UrbanDenoiser, to filter out urban seismological noise. UrbanDenoiser strongly suppresses nois...

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Detalles Bibliográficos
Autores principales: Yang, Lei, Liu, Xin, Zhu, Weiqiang, Zhao, Liang, Beroza, Gregory C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Earth, Environmental, Ecological, and Space Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007499/
https://www.ncbi.nlm.nih.gov/pubmed/35417238
http://dx.doi.org/10.1126/sciadv.abl3564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007499/
https://www.ncbi.nlm.nih.gov/pubmed/35417238
http://dx.doi.org/10.1126/sciadv.abl3564

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