• DocumentCode
    2068250
  • Title

    Automatic Classification of Remote Sensing Image Using Ant Colony Clustering Algorithm

  • Author

    Zhang, Hannv ; Huang, Fang ; Guo, Jiachen ; Liu, Min

  • Author_Institution
    Sch. of Urban & Environ. Sci., Northeast Normal Univ., Changchun, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Classification technology is an important branch of remote sensing technology. Exploring new methods to increase classification accuracies have been a key topic in remote sensing attracting scientist interests in recent years. Ant Colony Clustering Algorithm is a heuristic global optimization algorithm. In order to classify the remote sensing image, we use ants to obtain the number of cluster results through intelligent searching the optimum solutions after limited iterations. The Ant Colony Clustering Algorithm method using in automatic classification of remote sensing image obtain a good classification results.
  • Keywords
    geophysical signal processing; image classification; optimisation; pattern clustering; remote sensing; ant colony clustering algorithm; automatic classification; heuristic global optimization algorithm; remote sensing image; Ant colony optimization; Artificial intelligence; Classification algorithms; Clustering algorithms; Heuristic algorithms; Image analysis; Image classification; Multiagent systems; Particle swarm optimization; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5300869
  • Filename
    5300869