Degree of familiarity ART2 in fuzzy fusion landmine detection

Abstract

The self organising network ART2 has been modified to provide a fuzzy output value, which indicated the degree of familiarity of a new analogue input pattern to previous patterns stored in the long term memory weights of the network. The outputs of the multilayer perceptron and this modification output of ART2 allows it to now provide an analogue value to a fuzzy rule-based fusion technique which also uses a processed polarisation resolved image as its third input. In real-time these two classifier outputs indicate the likelihood of a surface landmine target when presented with a number of multispectral and textural bands. Due to the modifications in ART2 this updated alternative architecture has improved real-time landmine detection capabilities although the registration of all bands is more critical to the accuracy of results in this case. The real-time fuzzy rule based system has detected two of the 3 landmines and the landmine surrogate with 2 false alarms.