GPRlab is an open-source and free software for data analysis and research of ground-penetrating radar.
GPRlab is an open-source and free software for data analysis and research of ground-penetrating radar (GPR).
We recommend installing this software as an App in MATLAB, although GPRlab can also be installed as a standalone desktop software.
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(1) First, make sure MATLAB R2020b or above is installed on your computer.
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(2) As shown in Figure 2-1, open MATLAB, enter the APP module, click "Install App", and select the "GPRlab.mlappinstall" we provide.
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(3) After installation, GPRlab will appear as an App in your MATLAB (as shown in Figure 2-2), click to use.
user.video.mp4
Refer to the manual: GPRlab User Manual
Teaching videos: video1 video2 video3 video4
We have provided 3 cases in: ./examples
Case 1: GPR data of a bridge. https://github.com/xiongGPR/GPRlab/tree/main/examples/case1
Case 2: GPR data of a tunnel. https://github.com/xiongGPR/GPRlab/tree/main/examples/case2
Case 3: Data from lunar exploration radar. https://github.com/xiongGPR/GPRlab/releases/tag/0.0.8
If you would like to contribute to My Awesome Project, please read the contribution guidelines.
My Awesome Project is licensed under the GNU GENERAL PUBLIC LICENSE.
Author: Hongqiang Xiong
Contact address: College of Geo-Exploration Science and Technology, Jilin University, Changchun, China.
E-mail: 1014007697@qq.com
Year first available: 2023/08/05
Hardware required: None
Software required: Matlab 2020b or later version
Program language: Matlab
July 25, 2025, GPRlab Version 11.0 Update
Notes:Fixed some issues with reading DZT 32-bit format data.
We hope users will promptly notify us via email if they encounter any issues, so we can update and better serve everyone.
If you find our paper and code useful for your research, please consider giving a star ⭐ and citation 📝 :
@article{xiong2024gprlab,
title={GPRlab: A ground penetrating radar data processing and analysis software based on MATLAB},
author={Xiong, Hongqiang and Zhang, Zhiyu and Li, Jing},
journal={SoftwareX},
volume={26},
pages={101720},
year={2024},
publisher={Elsevier}
}


