KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #typescript #developer-tools #claude-code #ai-agent #codex #deepseek-harness #ai-agents #cli #react #mcp

GPR-FWI-Py

★ 31 Open GitHub ↗

No description available.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# GPR-FWI-Py
***Note: The code extensively utilizes multiprocessing-based functions and classes, which are incompatible with Windows unless explicitly guarded by an if \_\_name\_\_ == '\_\_main\_\_': clause. This limitation arises because Windows employs the spawn method to initiate new processes, requiring clear protection of the entry point to avoid unintended recursive process spawning.***

Welcome to the GPR-FWI-Py repository! This open-source Python software is developed for multi-scale regularized full waveform inversion in Ground Penetrating Radar (GPR) using random excitation sources. It accompanies our recent publication:

**Title**: GPR-FWI-Py: Open-Source Python Software for Multi-Scale Regularized Full Waveform Inversion in Ground Penetrating Radar Using Random Excitation Sources  
**Journal**: Computers & Geosciences  
https://www.sciencedirect.com/science/article/pii/S0098300425000202

## About
This repository contains all the code used to generate the figures and results presented in the paper. We encourage you to explore, modify, and use this software for your research or development projects.

## Usage
Please refer to the individual scripts for detailed comments on how to run them and modify them for your specific needs.

## Citation
If you use this software or adapt it for your work, we kindly ask you to cite our paper:

@article{WANG2025GPRFWIPy,  
title = {GPR-FWI-Py: Open-source Python software for multi-scale regularized full waveform inversion in Ground Penetrating Radar using random excitation sources},  
journal = {Computers & Geosciences},  
volume = {197},  
pages = {105870},  
year = {2025},  
issn = {0098-3004},   
doi = {https://doi.org/10.1016/j.cageo.2025.105870},   
url = {https://www.sciencedirect.com/science/article/pii/S0098300425000202},   
author = {Xiangyu Wang and Hai Liu and Xu Meng and Hesong Hu}
}

## Contact
For any queries regarding the software or the research, please contact:
- **Professor Hai Liu (Guangzhou University)**  
  Email: [hliu@gzhu.edu.cn](mailto:hliu@gzhu.edu.cn)

Thank you for visiting our repository and for your interest in GPR-FWI-Py.

GPR-FWI-Py

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README