Signed-off-by: 葛峻恺 <202115006@mail.sdu.edu.cn>
这个提交包含在:
葛峻恺
2025-06-17 16:06:11 +00:00
提交者 Gitee
父节点 edd089b9c2
当前提交 0e0d8c837f

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# GPR_3D_attribute
# GPR 3D attribute Imaging Toolkit
#### 介绍
Implement ground penetrating radar data processing, offset imaging, attribute analysis, and 3D modeling. This program is used to analyze the restoration status of the Buddha statue of Sumeru.
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.
#### 软件架构
软件架构说明
## 🌍 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 `.dat` point cloud format for 3D visualization
#### 安装教程
## 🧩 Dependencies
1. xxxx
2. xxxx
3. xxxx
Make sure you have the following Python packages installed:
#### 使用说明
1. xxxx
2. xxxx
3. xxxx
#### 参与贡献
1. Fork 本仓库
2. 新建 Feat_xxx 分支
3. 提交代码
4. 新建 Pull Request
#### 特技
1. 使用 Readme\_XXX.md 来支持不同的语言,例如 Readme\_en.md, Readme\_zh.md
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```bash
pip install numpy matplotlib scipy segyio