Validation of Advanced EM Models for UXO Discrimination

TL;DR

This paper validates advanced physics-based electromagnetic induction models against laboratory data for UXO detection, demonstrating their effectiveness in target discrimination and characterization.

Contribution

It provides the first detailed validation of these models with real and artificial targets, enhancing UXO discrimination capabilities.

Findings

Models accurately match artificial target data

Quantitative comparisons help identify target geometry

Effective in extracting target shell thickness

Abstract

The work reported here details basic validation of our advanced physics-based EMI forward and inverse models against data collected by the NRL TEMTADS system. The data was collected under laboratory-type conditions using both artificial spheroidal targets and real UXO. The artificial target models are essentially exact, and enable detailed comparison of theory and data in support of measurement platform characterization and target identification. Real UXO targets cannot be treated exactly, but it is demonstrated that quantitative comparisons of the data with the spheroid models nevertheless aids in extracting key target discrimination information, such as target geometry and hollow target shell thickness.