Classification of metallic targets using a single frequency component of the magnetic polarisability tensor
Classification of metallic targets using a single frequency component of the magnetic polarisability tensor
复制标题
使用磁极化张量的单频分量对金属目标进行分类
DOI：
10.1088/1742-6596/450/1/012038
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
A. Peyton
中科院分区：
文献类型：
--
作者：
J. Makkonen;L. A. Marsh;J. Vihonen;A. Visa;A. Järvi;A. Peyton
提出了一种k近邻（KNN）分类算法，该算法能够在10 kHz频率下反演金属目标的磁极化张量。预先计算的库数据用于确定对象的类，例如：“刀”或“手机”，因此能够判断一个物体是否被视为威胁。结果显示典型的成功率为95%。对不同候选对象之间的分类精度进行了研究，以确定体效应对分类成功的重要性。
A k-nearest neighbour (KNN) classification algorithm has been added to a walk-through metal detection system which is capable of inverting the magnetic polarisability tensor of metallic targets at a frequency of 10 kHz. Pre-computed library data is used to determine the class of the object, e.g. 'knife' or 'mobile phone', and is consequently capable of determining if an object is considered a threat. The results presented show a typical success rate of 95%. An investigation into classification accuracy between different candidates is also presented to determine the significance of the body effect on the success of the classification.
使用步入式金属探测器进行三维物体定位和单频率磁极化张量的反演
影响因子：
2.4
作者：
Marsh L
通讯作者：
Marsh L