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    LI Siyuan, SHAO Pu, MA Chengjin, HUANG Mian, LI Shuai, WANG Jianhui, ZHOU Jingbo. Numerical Simulation-Based Comparative Research on Multi-Algorithm Migration Imaging in Ground Penetrating Radar for Underground Pipeline DetectionJ. Site Investigation Science and Technology, 2026(2): 12-20, 49.
    Citation: LI Siyuan, SHAO Pu, MA Chengjin, HUANG Mian, LI Shuai, WANG Jianhui, ZHOU Jingbo. Numerical Simulation-Based Comparative Research on Multi-Algorithm Migration Imaging in Ground Penetrating Radar for Underground Pipeline DetectionJ. Site Investigation Science and Technology, 2026(2): 12-20, 49.

    Numerical Simulation-Based Comparative Research on Multi-Algorithm Migration Imaging in Ground Penetrating Radar for Underground Pipeline Detection

    • Based on the wave equation theory, migration processing in ground penetrating radar (GPR) serves as an effective approach to enhance the overall resolution of radar profiles. This study focuses on pipeline detection using GPR, implementing migration imaging of GPR numerical simulation radar profiles through four algorithms including Kirchhoff integration migration, frequency-wavenumber(F-K)migration, finite difference migration, and reverse time migration (RTM) by eliminating of direct waves in profile and single-channel wave velocity analysis method. Finally, the comprehensive evaluation of the migration results is completed by means of the direct image comparison, information entropy calculation and algorithm efficiency analysis.Results demonstrate that both F-K migration and RTM algorithms exhibit superior performance compared to the other two methods. Notably, F-K migration algorithm outperforms RTM algorithms in comprehensive effectiveness.
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