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Using self-organising maps to classify radar range profiles

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1 Author(s)
Luttrell, S.P. ; Defence Res. Agency, UK

A model based approach to radar range profile classification is presented, and it is shown to be equivalent to training a topographic mapping neural network (T. Kohonen, 1984) on each of the range profile categories to be classified. The topographic mapping method is basically a Euclidean distance method of classifying range profiles. However, because it is model based, it offers much more flexibility, and will perform better in situations where there is little training data

Published in:

Artificial Neural Networks, 1995., Fourth International Conference on

Date of Conference:

26-28 Jun 1995