APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR AIRBORNE MAGNETIC DATA DISCRIMINATION

The objective of this work was to develop and apply an artificial neural network (ANN) to discriminate ordnance from non-ordnance based on input derived from airborne vertical magnetic gradient data. The project assessed whether more output classifications are beneficial and/or required for effective and consistent discrimination, e.g. large ordnance, small ordnance, scrap, and geology. While it may ultimately be possible to determine ordnance type using ANNs, for this project we got best results with the fundamental classification scheme: UXO or not UXO.