Paper
10 October 2023 Study and application of migration technology in ground penetrating radar (GPR) data processing
Cong Yu, Ailin Li, Linlong Wu, Lamei Qing
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127990H (2023) https://doi.org/10.1117/12.3005918
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
Ground penetrating radar (GPR) receives the reflected wave from the interface. Therefore, when the data is collected, the process of data collection should be defined in the vertical direction. However, there is a certain deviation between the reflection point and the detection point in the process of practical detection. Therefore, it is only necessary to use the normal plane to pass through the detection point when analyzing, and all the echoes of the reflection point can be recorded. Therefore, in the process of practical detection, the data of GPR should be defined. In general, this detection method is called GPR data migration processing in practice. In this paper, based on the reverse-time migration and F-K migration theory, the original physical model data of tunnel lining cavity is analyzed by MATLAB. By comparison, reverse-time migration obviously raises a higher requirement for velocity model, and the GPR detection data is more suitable for F-K migration processing. In addition, a graphical user interface (GUI) is built to provide users with the development program for user interface, so it is more convenient for non-professional users, who can operate it more easily without the need to know a great number of commands.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Cong Yu, Ailin Li, Linlong Wu, and Lamei Qing "Study and application of migration technology in ground penetrating radar (GPR) data processing", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127990H (10 October 2023); https://doi.org/10.1117/12.3005918
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KEYWORDS
Data processing

General packet radio service

Image processing

Reflection

Human-machine interfaces

Data modeling

MATLAB

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