title: Identification of metallic spheroids by classification of their electromagnetic induction responses.
abstract: An investigation into the feasibility of applying pattern recognition concepts to the classification of metallic objects by their electromagnetic induction responses was performed. The effect on the response of a limited set of steel spheroids due to various factors such as object shape, size, and orientation was examined and a pattern recognition scheme based on these results was proposed. Implementation of the scheme involved the development of a novel extension to the nearest mean vector type of classifier in which the concept of the class mean as a point in feature space was generalized to be a curve. The resultant pattern recognition scheme was tested on a representative test set which included 815 responses, corresponding to 104 variations in object and orientation. A success rate of greater than 96 percent was achieved. It is noted that the classifier extension developed provides a viable approach to classification of responses that very continuously with respect to a single parameter.
authors.affiliation: Mines and Range Clearance Group, Defense Research Establishment Suffield, Ralston AB, Canada, T0J 2N0.
authors.forename: R H
authors.initials: RH
authors.lastname: Chesney
authors.forename: Y
authors.initials: Y
authors.lastname: Das
authors.forename: J E
authors.initials: JE
authors.lastname: McFee
authors.forename: M R
authors.initials: MR
authors.lastname: Ito