An application of fuzzy-evolutive integral to improve the performances of multispectral ATR systems

  • Authors:

  • Constantin-Iulian Vizitiu;Florin Şerban;Teofil Oroian;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;Communications and Electronic Systems Department, Military Technical Academy, Bucharest, Romania

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

According to the literature assigned to automatic target recognition (ATR) system theory, one of the most important methods to improve the performances of these is to use multispectral information provided by a suitable set of sensors, and certainly, proper information 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.