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Metal Detector Depth Estimation Algorithms

机译:金属探测器深度估计算法

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摘要

This paper looks at depth estimation techniques using electromagnetic induction (EMI) metal detectors. Four algorithms are considered. The first utilizes a vertical gradient sensor configuration. The second is a dual frequency approach. The third makes use of dipole and quadrapole receiver configurations. The fourth looks at coils of different sizes. Each algorithm is described along with its associated sensor. Two figures of merit ultimately define algorithm/sensor performance. The first is the depth of penetration obtainable. (That is, the maximum detection depth obtainable.) This describes the performance of the method to achieve detection of deep targets. The second is the achievable statistical depth resolution. This resolution describes the precision with which depth can be estimated. In this paper depth of penetration and statistical depth resolution are qualitatively determined for each sensor/algorithm. A scientific method is used to make these assessments. A field test was conducted using 2 lanes with emplaced UXO. The first lane contains 155 shells at increasing depths from 0" to 48". The second is more realistic containing objects of varying size. The first lane is used for algorithm training purposes, while the second is used for testing. The metal detectors used in this study are the: Geonics EM61, Geophex GEM5, Minelab STMR II, and the Vallon VMV16.
机译:本文研究了使用电磁感应(EMI)金属探测器的深度估计技术。考虑了四种算法。第一种利用垂直梯度传感器配置。第二种是双频方法。第三种利用偶极和四极接收器配置。第四个着眼于不同尺寸的线圈。每种算法及其关联的传感器都将进行描述。两个品质因数最终定义了算法/传感器性能。首先是可获得的渗透深度。 (即可获得的最大检测深度。)这描述了实现对深目标的检测的方法的性能。第二个是可达到的统计深度分辨率。此分辨率描述了可以估算深度的精度。在本文中,定性确定了每种传感器/算法的穿透深度和统计深度分辨率。使用科学的方法进行这些评估。使用2条带UXO的车道进行了现场测试。第一条车道包含155个弹壳,深度从0英寸增加到48英寸。第二个是更现实的包含不同大小的对象。第一条车道用于算法训练,而第二条车道用于测试。本研究中使用的金属探测器是:Geonics EM61,Geophex GEM5,Minelab STMR II和Vallon VMV16。

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