Open-Source Crosshole Radar Tomography Velocity Inversion Software Package

This open-source software package provides crosshole radar tomography velocity inversion capabilities using efficient and robust algorithms. The implementation utilizes shortest-path methods for forward modeling and LSQR (Least Squares QR) algorithm for inversion, making it excellent for tomography programming education.

The package offers comprehensive functionality for crosshole radar velocity inversion through computationally efficient methods. The forward modeling component employs Dijkstra's shortest path algorithm to calculate first-arrival travel times through complex media, while the inversion module implements the LSQR method - an iterative solver for sparse linear systems that provides numerical stability for large-scale tomography problems. This combination ensures both accuracy and performance in velocity reconstruction.

Tomography represents a crucial geophysical exploration technique that analyzes subsurface velocity distributions to reveal information about underground structures and lithology. Crosshole radar velocity inversion serves as a key component in this process, estimating subsurface velocity profiles by analyzing electromagnetic wave propagation data between boreholes. The open-source nature of this package encourages broader adoption and community contributions, thereby advancing tomography research through collaborative development.

Whether you're beginning your journey in tomography programming or conducting advanced geophysical research, this package provides an excellent foundation. Its optimized algorithms deliver reliable inversion results while the well-documented codebase offers insights into implementation details. Users can examine core functions handling ray tracing, matrix formation, and regularization techniques to deepen their understanding of inverse theory and its practical applications.

We hope you find value in this open-source package and wish you success in your tomography programming endeavors. The modular design allows for easy extension of functionality, and the included examples demonstrate proper usage patterns for various geological scenarios.