add cite info

Signed-off-by: sunfishfly <sunhuaifeng@sdu.edu.cn>
这个提交包含在:
sunfishfly
2025-09-18 09:09:49 +00:00
提交者 Gitee
父节点 07f6f8b701
当前提交 7137b842c7

查看文件

@@ -2,6 +2,12 @@
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. 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 ## 🌍 Key Features
- Read and process SEG-Y GPR data using `segyio` - Read and process SEG-Y GPR data using `segyio`