pyradon

A python package of Radon transform for denoising and interpolation of multi-channel seismic data


Keywords
seismology, earthquake, exploration, array, denoising, science, engineering, structure, local, slope, filtering
License
GPL-3.0
Install
pip install pyradon==0.0.1

Documentation

Pyradon

Description

*Pyradon is a python package for denoising and interpolation of multi-channel seismic data. This package has a variety of applications in both exploration and earthquake seismology.

Reference

Zhang et al., 2023, Pyradon: a python package of Radon transform for multi-channel seismic data processing, in preparation.

BibTeX:

@article{pyradon,
  title={Pyradon: a python package of Radon transform for multi-channel seismic data processing},
  author={Quan Zhang et al},
  journal={TBD},
  volume={1},
  number={1},
  pages={1-10},
  year={2022}
}

The pyradon developing team, 2021-present

License

GNU General Public License, Version 3
(http://www.gnu.org/copyleft/gpl.html)   

Install

Using the latest version

git clone https://github.com/QuanZhang97/pyradon
cd pyradon
pip install -v -e .

or using Pypi

pip install pyradon

Examples

The "demo" directory contains all runable scripts to demonstrate different applications of pyradon. 

The gallery figures of the pyradon package can be found at https://github.com/QuanZhang97/gallery/tree/main/pyradon Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the exactly the same file name.


Dependence Packages

  • scipy
  • numpy
  • matplotlib

Modules

xxx.py  -> description

Development

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. 

Contact

Regarding any questions, bugs, developments, collaborations, please contact  
Quan Zhang
quanzhang1997@gmail.com

Examples

A simple example of the adjoint Radon transform

Adj

Figure 1. Original Z component data with its Radon spectrum.

Adj

Figure 2. HRT denoised Z component data with its Radon spectrum.