• DocumentCode
    3641564
  • Title

    Classification of multispectral satallite images by using adaptive neuro-fuzzy classifier with linguistic hedges

  • Author

    Bayram Cetişli;Habil Kalkan

  • Author_Institution
    Bilgisayar Mü
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    In this study, vegetation species were classified by using multispectral satellite images. A full wavelet transform is used to decompose the images into sub-images and the energy in each sub-images is assigned as feature for classification. These features were eliminated and classified by using neuro-fuzzy classifier with linguistic hedges. A classification accuracy of 93.75% was achieved by using the selected five features among 252 extracted features.
  • Keywords
    "Feature extraction","Classification algorithms","Pragmatics","Conferences","Remote sensing","Filtering theory"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4577-0462-8
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929584
  • Filename
    5929584
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3641564