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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| 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 |