Evaluation of SVM classification of metallic objects based on a magnetic-dipole representation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6217 I, Issue , 2006, Pages

  Fernández, Juan Pablo ^a   Barrowes, Benjamin ^b   O'Neill, Kevin ^a,b   Paulsen, Keith ^a   Shamatava, Irma ^a   Shubitidze, Fridon ^a   Sun, Keli ^a  

^a DARTMOUTH COLLEGE   (United States)

^b Engineering Research and Development Center   (United States)

Author keywords

Machine learning; Magnetoquasistatics; Support Vector Machines; Unexploded ordnance (UXO)

Indexed keywords

ANISOTROPY; ELECTROMAGNETIC WAVE POLARIZATION; LEARNING SYSTEMS; MAGNETIC ANISOTROPY; MAGNETIC MATERIALS; ORDNANCE;

MAGNETOQUASISTATICS; SUPPORT VECTOR MACHINES; UNEXPLODED ORDNANCE (UXO);

ELECTROMAGNETIC FIELDS;

EID: 33747342614     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.667963     Document Type: Conference Paper

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