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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >GPR Imaging With RM Algorithm in Layered Mediums
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GPR Imaging With RM Algorithm in Layered Mediums

机译:分层介质中具有RM算法的GPR成像

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摘要

In ground-penetrating radar (GPR) imaging, the classic range migration (RM) algorithm can work well only when the imaging scene can be modeled as a single homogeneous medium. However, in most GPR field applications, the GPR system and objects operate in different mediums. The space between the antennas and the ground cannot be ignored electromagnetically. In this kind of circumstance, the imaging result of the classic RM algorithm will be blurred or possibly not focused at all, and the object's physical location cannot be interpreted from the imaging result. A layered RM imaging algorithm is proposed in this letter. With the exploding source model, the received field is first back propagated to the ground surface, and then, the classic RM method is carried out to give the final imaging result. Experimental results show that the proposed algorithm can prevent the defocusing of the object and obtain the object's true position. The computational time of the layered RM algorithm does not increase remarkably compared with that of the classic RM algorithm.
机译:在探地雷达(GPR)成像中,只有将成像场景建模为单一均匀介质时,经典的距离迁移(RM)算法才能很好地起作用。但是,在大多数GPR现场应用中,GPR系统和对象在不同的​​介质中运行。天线与地面之间的空间不可电磁忽略。在这种情况下,经典RM算法的成像结果将变得模糊甚至根本无法聚焦,并且无法根据成像结果来解释物体的物理位置。本文提出了一种分层的RM成像算法。使用爆炸源模型,首先将接收到的场反向传播到地面,然后执行经典的RM方法以给出最终的成像结果。实验结果表明,该算法可以防止物体散焦,并获得物体的真实位置。与经典RM算法相比,分层RM算法的计算时间不会显着增加。

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