在具有挑战性的未爆炸弹药现场获取未爆炸弹药分类技术

I. Shamatava, Gregory S. Schultz, F. Shubitidze
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引用次数: 2

摘要

在Fort Ord, CA未爆炸弹药现场对先进电磁感应(EMI)模型的分类性能进行了评价。电磁干扰数据集是使用下一代电磁干扰系统(如MetalMapper)在提示模式下收集的。通过考虑靠近传感器的物体数量、目标的大小和材料非均质性以及当地地质条件,论证了先进模型(如正交归一化体积磁源(ONVMS)、联合对角化和差分演化)在现场地下目标分类中的局限性和有效应用范围。我们团队使用先进的分类方法与其他团队的分类结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accessing UXO Classification Technologies at a Challenging Live-UXO Site
In this paper classification performances of advanced electromagnetic induction (EMI) models are evaluated at Fort Ord, CA live UXO site. The EMI data sets are collected using a next-generation EMI system, such as MetalMapper, in the cued mode. The limitation and valid range of application of advanced models: such as the Ortho Normalized Volume Magnetic Sources (ONVMS), Joint Diagonalization and Differential Evolution, are demonstrated for subsurface targets classification at a Live Site by taking into account the number of objects in a close proximity to the sensor, the size and material heterogeneity of those targets, and the local geologic conditions. The comparisons between classification results achieved by our team, using the advanced classification approach, and other teams are demonstrated.
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