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FFT implementation of Kirchhoff's migration for ground penetrating radar image focussing

机译:基尔霍夫偏移的FFT实现,用于探地雷达图像聚焦

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GROUND-penetrating radar (GPR) is a mature remote sensing technique employed by engineers and scientists to obtain information from subsurface structures. It is often advantageous to estimate the ground surface topography from radar returns. In this letter, we propose a method to solve the diffraction problem and improve the accuracy of surface topography. A modified version of Kirchhoff's migration technique is introduced to refocus the diffraction waves before searching for the brightest pixel. Experimental data have been used to display the effects of diffraction waves and test the method. The result shows that the method can dramatically estimate accurate surface topography even in the sharp variable surface area. We have proved our algorithm on both simulated as well as experimental data.
机译:探地雷达(GPR)是工程师和科学家用来从地下结构中获取信息的成熟的遥感技术。从雷达回波估计地表地形通常是有利的。在这封信中,我们提出了一种解决衍射问题并提高表面形貌精度的方法。引入了Kirchhoff迁移技术的改进版本,以在寻找最亮像素之前重新聚焦衍射波。实验数据已用于显示衍射波的影响并测试该方法。结果表明,即使在急剧变化的表面积下,该方法也可以显着估计准确的表面形貌。我们已经在模拟和实验数据上证明了我们的算法。

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