| --- |
| language: en |
| tags: |
| - seismic |
| - earthquake |
| - phase-picking |
| - deep-learning |
| - pytorch |
| license: mit |
| datasets: |
| - PS_Alaska |
| metrics: |
| - f1-score |
| - precision |
| - recall |
| --- |
| |
| # PhaseNet-TF Alaska: Advanced Seismic Arrival Time Detection |
|
|
| ## Model Description |
|
|
| PhaseNet-TF is an advanced deep learning model for automatic seismic phase picking (P-wave, S-wave, and PS-wave detection) using spectrogram-based image segmentation approaches. The model leverages DeepLabV3Plus architecture to detect seismic arrivals with high accuracy, especially for weak and noisy signals from ocean-bottom seismometers and weak phases such as slab interface refracted PS and SP waves. This Alaska version is specifically trained on the PS_Alaska dataset for P and S phases. |
| |
| ## Available Versions |
| |
| This repository contains two versions of the PhaseNet-TF Alaska model: |
| |
| ### 🔄 Iteration 1 |
| - **Model File**: `alaska_iter1.bin` |
| - **Config**: `config_iter1.json` |
|
|
| ### 🔄 Iteration 2 |
| - **Model File**: `alaska_iter2.bin` |
| - **Config**: `config_iter2.json` |
|
|
| ## Model Architecture |
|
|
| - **Backbone**: DeepLabV3Plus with ResNet34 encoder |
| - **Input**: 3-component seismic waveforms converted to 6-channel spectrograms (real + imaginary) |
| - **Output**: Probability maps for P, S, PS phases and noise |
| - **Sampling Rate**: 40 Hz (dt_s = 0.025s) |
| - **Window Length**: 4800 points (120 seconds) |
| - **Spectrogram Size**: 64 × 4800 (frequency × time) |
| - **Input Channels**: 6 (3 real + 3 imaginary spectrogram channels) |
| - **Output Classes**: 4 (noise, P, S, PS) |
| |
| ## Citation |
| |
| If you use this model in your research, please cite: |
| |
| ```bibtex |
| @article{jie2026deep, |
| title={Deep-Learning-Based Catalog of Background Seismicity and Aftershocks of the 2020--2021 Large Earthquakes Along the Alaska Peninsula}, |
| author={Jie, Yaqi and Wei, Songqiao Shawn and Zhu, Weiqiang and Freymueller, Jeffrey and Elliott, Julie}, |
| journal={Seismological Research Letters}, |
| volume={97}, |
| number={1}, |
| pages={187--203}, |
| year={2026}, |
| doi={10.1785/0220250072} |
| } |
| ``` |
| |
| ## License |
| |
| This model is licensed under the MIT License. |
| |
