多频GPR数据融合

A. De Coster, S. Lambot
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引用次数: 3

摘要

为了最大限度地提高探地雷达的分辨率和表征深度,已经开发了几种数据融合方法。在这项研究中,我们提出了一种新的基于物理的方法来合并来自不同天线的多频雷达数据。该策略依赖于去除天线效应和随后在频域中产生的格林函数的融合。我们在远场条件下使用两种不同的天线,分别在0.8-4.4 GHz和2.6-6.2 GHz范围内验证了该方法。我们在沙箱上方进行了雷达测量,沙箱中埋有许多物体。基于物理的数据融合由于频谱带宽的拓宽提供了增强的雷达图。未来的研究将集中在近场条件下,为此天线效应的去除应进行数值计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-frequency GPR data fusion
Several data fusion approaches have been developed to maximize both resolution and characterization depth for GPR. In this study, we propose a new physically-based method to merge multi-frequency radar data coming from different antennas. The strategy relies on the removal of antenna effects and the subsequent fusion of the resulting Green's functions in the frequency domain. We validated the approach in far-field conditions using two different antennas operating in the ranges 0.8-4.4 GHz and 2.6-6.2 GHz, respectively. We performed radar measurements above a sandbox wherein a number of objects were buried. The physically-based data fusion provided enhanced radargrams due to the broadening of the spectral bandwidth. Future research will focus on near-field conditions, for which the removal of antenna effects should be performed numerically.
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