Camp Beale Live-Site UXO Data Inversion and Classification Using Advanced EMI Models

• Main Authors: Shubitidze, Fridon, Shamatava, Irma, Miller, Jon, Keranen, Joe, Bijamov, Alex, Barrowes, Benjamin
• Other Authors: DARTMOUGH COLLEGE HANOVER NH THAYER SCHOOL OF ENGINEERING
• Format: Text
• Language: English
• Published: 2011
• Subjects: Magnetic & Electric Fld Detection & Detectors; Ammunition and Explosives; *EXPLOSIVES DETECTION; *UNEXPLODED AMMUNITION; EIGENVALUES; ELECTROMAGNETIC INTERFERENCE; MAGNETIC ANOMALY DETECTION; SYMPOSIA; BRIEFING CHARTS; ONVMS(ORTHONORMALIZED VOLUME MAGNETIC SOURCE); GAUSSIAN MIXTURE ALGORITHM; JD(JOINT DIAGONALIZATION) ALGORITHM; UXO(UNEXPLODED ORDNANCE); CAMP BEALE(CALIFORNIA); UXO CLASSIFICATION; Beale; Ida; Cold Regions Research and Engineering Laboratory
• Online Access: http://www.dtic.mil/docs/citations/ADA554384; http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA554384

The advanced EMI and statistical classification models are applied to the cued data sets of the Metal Mapper and two next-generation portable sensors: MPV and 2x2 3D TEMTADS. The advanced models combine: (1) the joint diagonalization (JD) algorithm for estimating the number of potential anomalies fr...