1.2 KiB
GPR 3D attribute Imaging Toolkit
This project provides a Python-based workflow for processing ground-penetrating radar (GPR) data from SEG-Y files, performing FK migration, and exporting the results as 3D point cloud data. It includes steps for data correction, background subtraction, tapering, migration, Hilbert envelope computation, and visualization.
Cite this work
Junkai Ge, Huaifeng Sun, Xiaodong Li, Xushan Lu, Xuening Wang, Li Li, Kejia Hu, Decoding the stone Buddha: Three-dimensional ground penetrating radar attribute insights into cracks and restoration history of Sumeru throne, Journal of Cultural Heritage, Volume 76, November–December 2025, Pages 39-51
See the published paper at https://www.sciencedirect.com/science/article/pii/S1296207425001980
🌍 Key Features
- Read and process SEG-Y GPR data using
segyio - Remove static and background clutter using sliding window averaging
- Apply custom tapering and FK migration
- Generate and visualize migrated sections and Hilbert envelopes
- Export processed results to
.datpoint cloud format for 3D visualization
🧩 Dependencies
Make sure you have the following Python packages installed:
pip install numpy matplotlib scipy segyio math pdb traceback tqdm