ESTCP live-site UXO classification results are presented for cued data collected with two advanced EMI instruments,
the cart-based 2 × 2 3D TEMTADS array and the Man Portable Vector (MPV) handheld sensor, at the former Camp
Beale in California. There were two sets of targets of interest (TOI): the main set consisted of 105-mm, 81-mm, 60-mm,
37-mm and ISO projectiles, and the other (optional) set comprised site-specific fuzes and fuze fragments of varous sizes.
The advanced models used for inversion and classification combine: 1) a joint-diagonalization (JD) algorithm that
estimates the number of potential targets generating an anomaly directly from the measured data without need for
inversion; 2) the ortho-normalized volume magnetic source (ONVMS) model, which locates targets, represents their
EMI responses, and extracts their intrinsic feature vectors; and 3) a Gaussian mixture algorithm that uses extracted
discrimination features to classify the corresponding buried objects as TOI or clutter. Initially the data are inverted using
a combination of ONVMS and the differential evolution direct-search algorithm; this allows the determination of
relevant intrinsic parameters, which in turn are classified by a mixture of clustering and library-matching techniques.
This paper describes in more detail the main steps of the classification process and demonstrates the results obtained for
the 2 × 2 3D TEMTADS and MPV data taken at Camp Beale, as scored independently by the Institute for Defense
Analyses. The advanced models are seen to produce superb classification in both cases.