• DocumentCode
    3313197
  • Title

    A Genetic Programming approach for coffee crop recognition

  • Author

    Santos, J.A. ; Faria, F. ; Calumby, R. ; Da S Torres, Ricardo ; Lamparelli, R.A.C.

  • Author_Institution
    RECOD Lab., Univ. of Campinas, Campinas, Brazil
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3418
  • Lastpage
    3421
  • Abstract
    This work presents a new approach for automatic recognition of coffee crops in RSIs. The method applies an approach based on Genetic Programming (GP) to combine texture and spectral information encoded by image descriptors. Experiments show that the proposed method yields slightly better results than the traditional MaxVer approach.
  • Keywords
    crops; genetic algorithms; geophysical image processing; image texture; remote sensing; MaxVer approach; automatic recognition; coffee crop recognition; genetic programming; image descriptor; spectral information; texture; Accuracy; Agriculture; Genetic programming; Remote sensing; Satellites; Tiles; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650273
  • Filename
    5650273
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3313197