Decision fusion method to improve the performances of multispectral ATR systems

  • Authors:
  • Constantin-Iulian Vizitiu;Florin Şerban;Cristian Molder;Mihai Stanciu

  • Affiliations:
  • Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania;Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania;Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania;Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania

  • Venue:
  • SENSIG'08 Proceedings of the 1st WSEAS international conference on Sensors and signals
  • Year:
  • 2008

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Abstract

One of the most important methods to improve the performances assigned to automatic target recognition (ATR) systems is to use multispectral information provided by a suitable set of sensors, and certainly, specific (decision) fusion techniques. In this paper authors propose an application using an improved evolutive version of Sugeno's fuzzy integral to increase the target recognition performances based on high-resolution radar (HRR) and video imaginary. In order to confirm the broached theoretical aspects, a real input database was used.