Inversion and classification studies of live-site production-level MetalMapper data sets

F. Shubitidze; J. P. Fernández; J. Miller; J. Keranen; B. E. Barrowes; A. Bijamov

doi:10.1117/12.919565

10 May 2012 Inversion and classification studies of live-site production-level MetalMapper data sets

F. Shubitidze, J. P. Fernández, J. Miller, J. Keranen, B. E. Barrowes, A. Bijamov

Proceedings Volume 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII; 835704 (2012) https://doi.org/10.1117/12.919565
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

This paper illustrates the discrimination performance of a set of advanced models at an actual UXO live site. The suite of methods, which combines the orthonormalized volume magnetic source (ONVMS) model, a data-preprocessing technique based on joint diagonalization (JD), and differential evolution (DE) minimization, among others, was tested at the former Camp Beale in California. The data for the study were collected independently by two UXO production teams from Parsons and CH2M HILL using the MetalMapper (MM) sensor in cued mode; each set of data was also processed independently. Initially all data were inverted using a multi-target version of the combined ONVMS-DE algorithm, which provided intrinsic parameters (the total ONVMS amplitudes) that were then used to perform classification after having been inspected by an expert. Classification of the Parsons data was conducted by a Sky Research production team using a fingerprinting approach; analysis of the CH2M HILL data was performed by a Sky/Dartmouth R&D team using unsupervised clustering. During the classification stage the analysts requested the ground truth for selected anomalies typical of the different clusters; this was then used to classify them using a probability function. This paper reviews the data inversion, processing, and discrimination schemes involving the advanced EMI methods and presents the classification results obtained for both the CH2M HILL and the Parsons data. Independent scoring by the Institute for Defense Analyses reveals superb all-around classification performance.

Citation Download Citation

F. Shubitidze, J. P. Fernández, J. Miller, J. Keranen, B. E. Barrowes, and A. Bijamov "Inversion and classification studies of live-site production-level MetalMapper data sets", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 835704 (10 May 2012); https://doi.org/10.1117/12.919565

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