An Approach to Automatic Target Recognition in Radar Images Using SVM

  • Noslen Hernández
  • José Luis Gil Rodríguez
  • Jorge A. Martin
  • Francisco Silva Mata
  • Ricardo González
  • Raúl Álvarez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)

Abstract

This paper introduces an Automatic Target Recognition (ATR) method based on X Band Radar image processing. A software which implements this method was developed following four principal stages: digital image formation, image preprocessing, feature selection through a combination of C4.5 Decision Tree and PCA and classification using SVM. The automatic process was validated using two images sets, one of them containing real images with natural noise levels and the other with different degrees of impulsive noise contamination. The method achieves a very nice computation behavior and effectiveness, high accuracy and robustness in noise environments with a low storage memory and high decision speed.

Keywords

target recognition X Band radar SVM image processing feature selection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Noslen Hernández
    • 1
  • José Luis Gil Rodríguez
    • 1
  • Jorge A. Martin
    • 2
  • Francisco Silva Mata
    • 1
  • Ricardo González
    • 1
  • Raúl Álvarez
    • 2
  1. 1.Advanced Technologies Application CenterMIMBASCiudad de la Habana, PlayaCuba
  2. 2.“Granma” Navy Academy, Micro X, AlamarCiudad de La Habana

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