Discrimination studies carried out on TEMTADS and Metal Mapper blind data sets collected at the San Luis Obispo UXO site are
presented. The data sets included four types of targets of interest: 2.36" rockets, 60-mm mortar shells, 81-mm projectiles, and 4.2"
mortar items. The total parameterized normalized magnetic source (NSMS) amplitudes were used to discriminate TOI from metallic
clutter and among the different hazardous UXO. First, in object's frame coordinate, the total NSMS were determined for each TOI
along three orthogonal axes from the training data provided by the Strategic Environmental Research and Development Program
(SERDP) along with the referred blind data sets. Then the inverted total NSMS were used to extract the time-decay classification
features. Once our inversion and classification algorithms were tested on the calibration data sets then we applied the same procedure
to all blind data sets. The combined NSMS and differential evolution algorithm is utilized for determine the NSMS strengths for each
cell. The obtained total NSMS time-decay curves were used to extract the discrimination features and perform classification using the
training data as reference. In addition, for cross validation, the inverted locations and orientations from NSMS-DE algorithm were
compared against the inverted data that obtained via the magnetic field, vector and scalar potentials (HAP) method and the combined
dipole and Gauss-Newton approach technique. We examined the entire time decay history of the total NSMS case-by-case for
classification purposes. Also, we use different multi-class statistical classification algorithms for separating the dangerous objects
from non hazardous items. The inverted targets were ranked by target ID and submitted to SERDP for independent scoring. The
independent scoring results are presented.