Picking Induced Seismicity with Deep Learning (piSDL)
Training deep-learning picking models with several published data sets can be easily done through the Python toolbox SeisBench. Most of the data sets contain earthquakes recorded at local, regional and teleseismic distances, with only limited data in the low magnitude, close distance region. Applyi...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
McGill University
2025-08-01
|
| Series: | Seismica |
| Online Access: | https://seismica.library.mcgill.ca/article/view/1579 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|