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RFDFWIM

Radar Frequency-Domain Full-Waveform Inversion using MATLAB

2D Ground Penetrating Radar (GPR) Full-Waveform Inversion (FWI) in the frequency domain using finite-difference discretisation. The code performs multi-parameter imaging (permittivity ε and conductivity σ) for sedimentary architecture modelling.


Copyright & Contact

Copyright © Mrinal Kanti Layek

Developed as Ph.D. work by Mrinal Kanti Layek.
Starting date: 3 January 2018 · Final modification: September 2019.


Overview

RFDFWIM provides:

  • Forward modelling — 2D GPR frequency-domain finite-difference (FDFD) modelling with shot gathers and CFS-PML boundaries.
  • Full-waveform inversion — Frequency-domain FWI for GPR data to recover relative permittivity and conductivity.
  • Multi-parameter imaging — Joint recovery of ε and σ using gradient-based optimisation with L-BFGS and Wolfe line search.

Typical use: inverse crime methodology (synthetic data from the same forward code) as in Lavoué et al. (2014), Layek & Sengupta (2019, 2021, 2023).


Repository layout

Item Description
create_models/ Scripts to build synthetic models (e.g. two-cross, 4-sided geometry).
forward/ Forward modelling: FDFD, CFS-PML, shot/receiver handling.
inv/ Inversion: gradients, Hessian, L-BFGS, Tikhonov, Wolfe line search.
input/ Input files: permittivity (ε), conductivity (σ), source/receiver positions.
output/ Forward modelling outputs (figures, etc.).
outputmyINV/ Inversion outputs (models, gradients, figures, .mat files).
obs/ Observed/synthetic data (e.g. obs_data.mat from forward run).
docs/ Notes and documentation.
seismic.map Colormap for visualisation.

Main entry scripts:

  • create_models_mkl.m — Create synthetic models and acquisition (e.g. MYMOD_*.dat).
  • GPRFM.m — Forward modelling; generates data for inversion (saved in obs/).
  • RFDFWI.m — Main FWI script; runs the inversion and writes to outputmyINV/.

Quick start

  1. Install — MATLAB (tested R2016b+), Parallel Computing Toolbox recommended. See INSTALLATION.md.
  2. Create models — Run create_models_mkl.m to generate input/MYMOD_eps.dat, MYMOD_sig.dat, and acquisition files.
  3. Generate data — Run GPRFM.m to produce obs/obs_data.mat.
  4. Run inversion — Run RFDFWI.m; results and figures go to outputmyINV/.

Details: COMMANDS.md, MANUAL.md.


References

  • Lavoué et al. (2014) — FWI of GPR data.
  • Layek, M.K. & Sengupta, P. (2019, 2021, 2023) — Multi-parameter GPR FDFD FWI, sedimentary architecture.
  • Köhn et al. (2017) — Tutorial: frequency-domain modelling and FWI of georadar data with GERMAINE. DOI: 10.13140/RG.2.2.29354.03523.
  • Meles et al. (2011) — GPR full-waveform sensitivity and resolution (FDTD adjoint).
  • Shin et al. (2001) — Pseudo-Hessian in seismic FWI.
  • Nocedal & Wright (2006) — Numerical optimization, L-BFGS, Wolfe conditions.

Tested environment

  • Platform: Windows 10 Pro, 64-bit
  • Hardware: Lenovo ThinkStation, AMD Ryzen Threadripper PRO 3955WX 16-Cores 3.90 GHz, 32 GB RAM

License

See repository for applicable terms. All rights reserved by the author.

About

RFDFWIM Radar Frequency-Domain Full-Waveform Inversion using MATLAB 2D Ground Penetrating Radar (GPR) Full-Waveform Inversion (FWI) in the frequency domain using finite-difference discretisation. The code performs multi-parameter imaging (permittivity ε and conductivity σ) for sedimentary architecture modelling.

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