SeisNN 0.5.0.dev0

Deep learning seismic phase picking project

SeisNN

Docs build:

Github Pages: https://seisnn.github.io/SeisNN/

Deep learning seismic phase picking framework with SEISAN

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Warning

The code is still in the development state, API will change frequently.

Beta version will be released soon.

Please star us for upcoming updates!

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Prerequisite:

• S-File catalog from SEISAN

• SeisComP Data Structure (SDS) database. The directory and file layout of SDS is defined as:

  SDSROOT/YEAR/NET/STA/CHAN.TYPE/NET.STA.LOC.CHAN.TYPE.YEAR.DAY
  

Installation:

• Follow the instructions in the Docker folder to create a Docker container.

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Reference:

EQTansfomer | Github

Mousavi, S. M., Ellsworth, W. L., Zhu, W., Chuang, L. Y., & Beroza, G. C. (2020). Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nature communications, 11(1), 1-12.

PhaseNet | Github

Zhu, W., & Beroza, G. C. (2018). PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method. arXiv preprint arXiv:1803.03211.

U-net

Ronneberger, O., Fischer, P., & Brox, T. (2015, October). U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention (pp. 234-241). Springer, Cham.

U-net ++ | Github

Zhou, Z., Siddiquee, M. M. R., Tajbakhsh, N., & Liang, J. (2018). Unet++: A nested u-net architecture for medical image segmentation. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (pp. 3-11). Springer, Cham.

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