Olive Trees Detection in Very High Resolution Images

  • Juan Moreno-Garcia
  • Luis Jimenez Linares
  • Luis Rodriguez-Benitez
  • Cayetano Solana-Cipres
Part of the Communications in Computer and Information Science book series (CCIS, volume 81)

Abstract

This paper focuses on the detection of olive trees in Very High Resolution images. The presented methodology makes use of machine learning to solve the problem. More concretely, we use the K-Means clustering algorithm to detect the olive trees. K-Means is frequently used in image segmentation obtaining good results. It is an automatic algorithm that obtains the different clusters in a quick way. In this first approach the tests done show encouraging results detecting all trees in the example images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Juan Moreno-Garcia
    • 1
  • Luis Jimenez Linares
    • 2
  • Luis Rodriguez-Benitez
    • 2
  • Cayetano Solana-Cipres
    • 2
  1. 1.Escuela Universitaria de Ingenieria Tecnica Industrial, Universidad de Castilla-La ManchaToledoSpain
  2. 2.Escuela Superior de InformaticaUniversidad de Castilla-La ManchaCiudad RealSpain

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