MATseisdl is a Matlab package for different dictionary learning methods and their applications in seismology. DL has a variety of applications in seismology, including but not limited to seismic denoising, seismic reconstruction, seismic diffraction separation, constrained LSRTM, constrained FWI, etc.
Chen, Y. (2020). Fast dictionary learning for noise attenuation of multidimensional seismic data. Geophysical Journal International, 222(3), 1717-1727.
Wang, H., Chen, W., Zhang, Q., Liu, X., Zu, S., & Chen, Y. (2020). Fast dictionary learning for high-dimensional seismic reconstruction. IEEE Transactions on Geoscience and Remote Sensing, 59(8), 7098-7108.
Chen, Y., Savvaidis, A., and Fomel, S., (2023). Dictionary learning for single-channel passive seismic denoising, Seismological Research Letters, 94, 2840-2851.
BibTeX:
@article{chen2020sgk,
title={Fast dictionary learning for noise attenuation of multidimensional seismic data},
author={Yangkang Chen},
journal={Geophysical Journal International},
volume={222},
number={3},
issue={3},
pages={1717-1727},
year={2020}
}
@article{wang2021sgk,
title={Fast dictionary learning for high-dimensional seismic reconstruction},
author={Hang Wang and Wei Chen and Quan Zhang and Xingye Liu and Shaohuan Zu and Yangkang Chen},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={59},
number={8},
issue={8},
pages={7098-7108},
doi={10.1109/TGRS.2020.3030740},
year={2021}
}
@article{dl1dnoise,
author={Yangkang Chen and Alexandros Savvaidis and Sergey Fomel},
title = {Dictionary learning for single-channel passive seismic denoising},
journal={TBD},
year=2023,
volume={94},
number={6},
issue={6},
pages={2840-2851},
doi={10.1785/0220230169},
}
The MATseisdl developing team, 2021-present
GNU General Public License, Version 3
(http://www.gnu.org/copyleft/gpl.html)
Using the latest version
git clone https://github.com/chenyk1990/MATseisdl
cd MATseisdl
addpath(genpath('./')); #in Matlab command line
The "demo" directory contains all runnable scripts to demonstrate different applications of MATseisdl.
The gallery figures of the pydrr package can be found at https://github.com/chenyk1990/gallery/tree/main/matseisdl Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the same file name.
- Matlab 2015 and later versions
The development team welcomes voluntary contributions from any open-source enthusiast.
If you want to contribute to this project, feel free to contact the development team.
Regarding any questions, bugs, developments, or collaborations, please contact
Yangkang Chen
chenyk2016@gmail.com