Hierarchical Exploration of Continuous Seismograms With Unsupervised Learning

Continuous seismograms contain a wealth of information with a large variety of signals with different origin. Identifying these signals is a crucial step in understanding physical geological objects. We propose a strategy to identify classes of signals in continuous single‐station seismograms in an...

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Detalles Bibliográficos
Autores principales: Steinmann, René, Seydoux, Léonard, Beaucé, Éric, Campillo, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285886/
https://www.ncbi.nlm.nih.gov/pubmed/35864916
http://dx.doi.org/10.1029/2021JB022455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285886/
https://www.ncbi.nlm.nih.gov/pubmed/35864916
http://dx.doi.org/10.1029/2021JB022455

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