EM61-3D Discrimination of UXO Using Empirical, Analytic, and Numerical Models
Abstract
The primary goal of this project was to compare three quantitative approaches to modeling EM induction for UXO discrimination: a phenomenological dipole model, a semianalytic theory, and a finite-element numerical method. The secondary goal was to quantify the value of multiple spatial components and time channels. A general, time-dependent triaxial dipole model was developed. The semianalytic theory was not completed; implementation of the numerical method was impractical given allocated resources. The relative merits of additional temporal and spatial information were assessed. Performance was measured by the fraction of false positives for ordnance-like objects at 91% true positives. The best false-positive rate for the full multicomponent, multichannel data was just 5%. However, this excellent performance is largely due to the fact that the ordnance-like objects are larger than the scrap-like objects in this data set. Better generalization may be obtained with discriminants based solely on shape which yielded 32% false positives. This work demonstrated in an internally consistent way the high performance in UXO discrimination that can be achieved with multicomponent, multichannel electromagnetic sensors, as well as the value of relatively simple modeling and discrimination procedures.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 24, 2002
- Accession Number
- ADA480886
Entities
People
- Alex Becker
- Pieter Weichman