GPR-FWI-Py: Open-source Python software for multi-scale regularized full waveform inversion in Ground Penetrating Radar using random excitation sources

• Published in: Computers & geosciences Vol. 197; p. 105870
• Main Authors: Wang, Xiangyu, Liu, Hai, Meng, Xu, Hu, Hesong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2025
• Subjects: algorithms; computer software; Full Waveform Inversion (FWI); Ground Penetrating Radar (GPR); Open-software; Python; radar; readability; Open-software; Ground Penetrating Radar (GPR); Full Waveform Inversion (FWI); Python
• ISSN: 0098-3004
• DOI: 10.1016/j.cageo.2025.105870

Full Waveform Inversion (FWI) of Ground Penetrating Radar (GPR) is crucial for enhancing subsurface imaging, yet its applications often confronts computational and usability challenges. This paper introduces GPR-FWI-Py, a comprehensive 2D GPR FWI code package that addresses these challenges through a multi-scale strategy, a random excitation source strategy, and Total Variation (TV) regularization. Optimized for high-performance computing, the software is developed in pure Python, ensuring both high efficiency and accessibility. Key features include user-friendly design and readability, which empower users to easily adapt and maintain the software to meet specific project needs. Performance evaluations on layered and Over-Thrust models confirm that our strategies significantly improve FWI results. The modular architecture of GPR-FWI-Py not only simplifies the integration of the FWI algorithm into GPR imaging but also enhances adaptability by supporting the introduction of additional functionalities. •2D GPR FWI code with multi-scale, random source and TV regularization strategies.•Python code optimized for high-performance computing.•Design’s modularity and user-friendliness facilitate easy maintenance.•Effectiveness in FWI across layered and Over-Thrust models is demonstrated.