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    基于数值模拟的探地雷达管线探测多算法偏移成像对比研究

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

    • 摘要: 基于波动方程理论的探地雷达偏移处理是提高雷达剖面整体分辨率的有效手段,该文聚焦于探地雷达管线探测,利用消除剖面直达波、单道波速度分析等方法,实现Kirchhoff积分偏移、频率-波数(Frequency-wavenumber,F-K)偏移、有限差分偏移和逆时偏移等四种算法的探地雷达数值模拟剖面偏移成像。最终通过图像直观对比、信息熵计算、算法运行效率分析三种手段完成了偏移结果的综合评价。结果表明F-K偏移算法和逆时偏移算法相较于其他两种算法来说具优势,而这其中F-K偏移算法从综合效果来说更优于逆时偏移算法。

       

      Abstract: 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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