GAN–supervised Seismic Data Reconstruction: An Enhanced–Learning for Improved Generalization

In this repository are stored the data and codes used in the paper GAN–supervised Seismic Data Reconstruction: An Enhanced–Learning for Improved Generalization. We used TensorFlow 2.12.0. For reproducibility, we are sharing notebooks for the specific experiments shown in the paper.

How to cite:

@ARTICLE{10613855,
  author={Goyes-Peñafiel, Paul and Suárez-Rodríguez, León and Correa, Claudia V. and Arguello, Henry},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={GAN Supervised Seismic Data Reconstruction: An Enhanced Learning for Improved Generalization}, 
  year={2024},
  volume={62},
  number={},
  pages={1-10},
  keywords={Image reconstruction;Training;Generative adversarial networks;Distortion;Data models;Training data;Supervised learning;Domain generalization;generative models;seismic data enhancement;seismic reconstruction;supervised learning},
  doi={10.1109/TGRS.2024.3434474}}

Further questions: goyes.yesid@gmail.com