A bivariate Gaussian model for unexploded ordnance classification with EMI data

被引：7

作者：

Williams, David ^{[1
]}

Yu, Yijun ^{[1
]}

Kennedy, Levi ^{[1
]}

Zhu, Xianyang ^{[1
]}

Carin, Lawrence ^{[1
]}

机构：

[1] Signal Innovat Grp, Res Triangle Pk, NC 27703 USA

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2007年 / 4卷 / 04期

关键词：

classification; dipole model; electromagnetic-induction (EMI); Gaussian model; unexploded ordinance (UXO);

D O I：

10.1109/LGRS.2007.903972

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A bivariate Gaussian model is proposed for modeling spatially varying electromagnetic-induction (EMI) response of unexploded ordnance (UXO). This model is proposed for EMI sensors that do not exploit enough physics to warrant using the popular magnetic-dipole model currently commonly used. These two competing models are applied to measured EM61 sensor data at a real UXO site. UXO classification performance using the proposed bivariate Gaussian model is shown to be superior to an approach employing the magnetic-dipole model. Moreover, the bivariate Gaussian model requires no labeled training data, obviates classifier construction, and has fewer. model parameters to learn.

引用

页码：629 / 633

页数：5

共 5 条

[1]

Baum C.E., 1998, DETECTION IDENTIFICA

[2] THE MEANING AND USE OF THE AREA UNDER A RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE [J].