Dataset and Code Accompanying "Challenges and Learning from Exploring Deep Metric Learning for Identifying Seismic Stratigraphy"

Dataset and code related to the work outlined in "Challenges and Learning from Exploring Deep Metric Learning for Identifying Seismic Stratigraphy". File Description: seis_seg.h5 - trained model weights. topseis_temp.npy - seismic survey. train_demo.ipynb - training demo including syntheti...

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Bibliographische Detailangaben
Hauptverfasser: Dennis, Adelved, Bugge, Aina Juell, Lie, Jan Erik, Bormann, Peter, Faleide, Jan Inge
Format: Dataset
Sprache:eng
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Zusammenfassung:Dataset and code related to the work outlined in "Challenges and Learning from Exploring Deep Metric Learning for Identifying Seismic Stratigraphy". File Description: seis_seg.h5 - trained model weights. topseis_temp.npy - seismic survey. train_demo.ipynb - training demo including synthetic modelling pipeline. inference_and_plot - inference and reproducing main results. Pre-calculated phase volume and encoded features for reproducing figures: unwrapped_phase_volume_full.npy. features_full_ds222_ps32_s222.npy. indices_full_ds222_ps32_s222.npy.
DOI:10.5281/zenodo.13220732