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Code for Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning

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dispersion-ML

Code for Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning

Paper at https://ieeexplore.ieee.org/document/9099269

Code is provided as-is and not maintained; filenames should roughly explain the purpose of the scripts. Data cannot be provided due to licensing agreements.

Recommended environment is Anaconda 3.5+ (Spyder IDE) and at least RTX 2060. Code was developed locally on RTX 2080ti so adjust for memory use accordingly.

Overall workflow (some scripts were needed for figure generation only): makedata -> data_to_npy -> trainlb -> other evaluation scripts

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Code for Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning

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