Signal Processing For Tree-Trunk Investigation Using Ground Penetrating Radar

I. Giannakis, F. Tosti, Livia Lantini, Daniel Egyir, A. Alani
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引用次数: 3

Abstract

Summary Invasive fungi diseases are considered one the biggest threats for the ash and oak forests in United Kingdom. To that extend, Ground Penetrating Radar (GPR) can provide a powerful diagnostic tool for assessing the health status of tree trunks based on their internal dielectric distribution. GPR acquisitions in tree-trunks is a unique problem that can not be approached with traditional GPR processing approaches. Typical interpretation tools like hyperbola fitting and migration should be adjusted and fine-tuned in order to be applicable for irregular measurements in a closed curve. The purpose of this paper is to provide GPR practitioners with a set of interpretation tools that can be applied in the field using commercial GPR antennas. In that context, a novel processing framework is presented that is fine-tuned for the current problem. The suggested scheme is successfully tested using both numerical and real data indicating the capabilities of GPR as a diagnostic tool for early detection of tree diseases.
探地雷达树干探测信号处理
侵袭性真菌疾病被认为是对英国白蜡林和橡树林的最大威胁之一。因此,探地雷达(GPR)可以为基于树干内部介电分布评估树干健康状况提供一个强大的诊断工具。树干的探地雷达捕获是传统探地雷达处理方法无法解决的一个独特问题。双曲线拟合和偏移等典型解释工具应进行调整和微调,以便适用于封闭曲线中的不规则测量。本文的目的是为探地雷达从业者提供一套可以在使用商用探地雷达天线的领域中应用的解释工具。在这种情况下,提出了一种针对当前问题进行微调的新型处理框架。采用数值和实际数据对建议的方案进行了成功的测试,表明探地雷达作为早期发现树木疾病的诊断工具的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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