Pydrr is a python package for the damped rank reduction (DRR) method and its several variants. The DRR method has a variety of applications in both exploration and earthquake seismology, including but not limited to seismic denoising, seismic reconstruction, seismic diffraction separation, constrained LSRTM, constrained FWI, etc. The initial version of this package was held at https://github.com/chenyk1990/pydrr, which is no longer maintained.
The Matlab counterpart of the package can be found at https://github.com/aaspip/MATdrr.
Huang, W., Wang, R., Chen, Y., Li, H., & Gan, S. (2016). Damped multichannel singular spectrum analysis for 3D random noise attenuation. Geophysics, 81(4), V261-V270.
Chen, Y., Huang, W., Zhang, D., & Chen, W. (2016). An open-source Matlab code package for improved rank-reduction 3D seismic data denoising and reconstruction. Computers & Geosciences, 95, 59-66.
Chen, Y., Zhang, D., Jin, Z., Chen, X., Zu, S., Huang, W., & Gan, S. (2016). Simultaneous denoising and reconstruction of 5-D seismic data via damped rank-reduction method. Geophysical Journal International, 206(3), 1695-1717.
Chen, Y., Huang, W., Yang, L., Oboue, Y.A.S.I., Saad, O.M., and Chen Y.F. 2023, DRR: An open-source multi-platform package for the damped rank-reduction method and its applications in seismology. Computers & Geosciences, 180, 105440.
BibTeX:
@article{huang2016dmssa,
title={Damped Multichannel Singular Spectrum Analysis for 3{D} Random Noise Attenuation},
author={Weilin Huang and Runqiu Wang and Yangkang Chen and Huijian Li and Shuwei Gan},
journal={Geophysics},
volume={81},
number={4},
issue={4},
pages={V261-V270},
year={2016},
publisher={Society of Exploration Geophysicists}
}
@article{chen2016drr5d,
title={Simultaneous denoising and reconstruction of 5{D} seismic data via damped rank-reduction method},
author={Yangkang Chen and Dong Zhang and Zhaoyu Jin and Xiaohong Chen and Shaohuan Zu and Weilin Huang and Shuwei Gan},
journal={Geophysical Journal International},
volume={206},
number={3},
issue={3},
pages={1695-1717},
year={2016}
}
@article{chen2016drr3d,
title={An open-source Matlab code package for improved rank-reduction 3{D} seismic data denoising and reconstruction},
author={Yangkang Chen and Dong Zhang and Weilin Huang and Wei Chen},
journal={Computers \& Geosciences},
volume={95},
pages={59-66},
year={2016}
}
@article{chen2023drr,
title={DRR: an open-source multi-platform package for the damped rank-reduction method and its applications in seismology},
author={Yangkang Chen and Weilin Huang and Liuqing Yang and Yapo Abol\'{e} Serge Innocent Obou\'{e} and Omar M. Saad and Yunfeng Chen},
journal={Computers \& Geosciences},
volume={180},
pages={105440},
year={2023}
}
pydrr 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/aaspip/pydrr
cd pydrr
pip install -v -e .
or using Pypi
pip install pydrr
The "demo" directory contains all runable scripts to demonstrate different applications of pydrr.
The gallery figures of the pydrr package can be found at https://github.com/chenyk1990/gallery/tree/main/pydrr Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the exactly the same file name.
- scipy
- numpy
- matplotlib
The development team welcomes voluntary contributions from any open-source enthusiast.
If you want to make contribution to this project, feel free to contact the development team.
Regarding any questions, bugs, developments, collaborations, please contact
Yangkang Chen
chenyk2016@gmail.com
The gallery figures of the DRR package can be found at https://github.com/chenyk1990/gallery/tree/main/matdrr Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the exactly the same file name.
The following figure shows a 2D localized denoising example using the DRR package.
The following figure shows a 3D localized denoising example using the DRR package.
The following figure shows a 2D diffraction separation example using the DRR package.
The following figure shows a 3D denoising example using the DRR package.
The following figure shows a 3D denoising and reconstruction example using the DRR package.
The following figure shows a 3D diffraction separation example using the DRR package.
The following figure shows a 3D seismic reconstruction example on the USArray data using the DRR package.
The following figure shows a 5D denoising example using the DRR package.
The following figure shows a 5D denoising and reconstruction example using the DRR package.
The following figure shows a 3D denoising example using the ODRR method in the DRR package.
The following figure shows a 3D denoising and reconstruction example using the ODRR method in the DRR package.
The following figure shows a 5D denoising example using the ODRR method in the DRR package.
The following figure shows a 5D denoising and reconstruction example using the ODRR method in the DRR package.
The following figure shows a dealiased interpolation (densification) example using the DRR package.
The following figure shows a deblending example using the localized DRR method in the DRR package.
The following figure shows a DAS denoising example using the localized DRR method in the DRR package.
The following figure shows an off-the-grid (OTG) denoising and reconstruction example on USArray data using the DRR package. Generated by demos/test_matdrr_drr3drecon_otg_usarray.m
