New Metrics to Evaluate Pattern Recognition in Remote Sensing Images

  • Manel Kallel
  • Mohamed Naouai
  • Yosr Slama
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)


The continuous development of pattern recognition approaches increases the need for evaluation tools to quantify algorithms performance and establish precise inter-algorithm comparison. So far, few performance evaluating metrics in pattern recognition algorithms are known in the literature, especially in remote sensing images. In this paper, four metrics are proposed for this purpose. The advantages and drawbacks of these metrics are first described, then some experimentation results are the presented in order to validate our contribution.


Evaluating metrics pattern recognition performance evaluation remote sensing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Manel Kallel
    • 1
  • Mohamed Naouai
    • 1
  • Yosr Slama
    • 1
  1. 1.Faculty of Science of TunisUniversity Tunis el Manar DSITunis BelvidaireTunisia

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