Unsupervised Electromagnetic Target Classification by Self-organizing Map Type Clustering


Katilmis T. T. , Ekmekci E., Turhan-Sayan G.

Progress in Electromagnetics Research Symposium, Cambridge, Canada, 5 - 08 July 2010, pp.240-243 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: Cambridge
  • Country: Canada
  • Page Numbers: pp.240-243

Abstract

In this study, design of a completely unsupervised electromagnetic target classifier will be described based on the use of Self-Organizing Map (SOM) type artificial neural network training and Wigner distribution (WD) based target feature extraction technique. The suggested classification method will be demonstrated for a target library of four dielectric spheres which have exactly the same size but slightly different permittivity values.