• DocumentCode
    291870
  • Title

    Fuzzy approaches for improving a classification accuracy in remote sensing image data

  • Author

    Kim, Jin-Il ; Kim, Sung-Chun

  • Author_Institution
    Dept. of Comput. Eng., Dongeui Univ., Pusan, South Korea
  • Volume
    1
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    354
  • Abstract
    The study proposes a fuzzy analytic algorithm for classification of mixed pixel (mixel) image. First, the misclassified problem and information loss of mixed pixels are examined. To solve the mixel´s uncertainty, a fuzzy function which produces a fuzzy number is suggested. Second, algorithms for the analytic fuzzy approach are represented. This analytic method is applied to two bridges across the Hon River and an area adjacent to the river in Seoul to verify it
  • Keywords
    fuzzy set theory; image classification; remote sensing; Hon River; Korea; Seoul; Sungsoo Bridge; Youngdong Bridge; classification accuracy; fuzzy analytic algorithm; fuzzy function; information loss; misclassified problem; mixed pixel image; mixel; remote sensing image data; Algorithm design and analysis; Data engineering; Intelligent sensors; Neural networks; Pixel; Radiometry; Remote sensing; Rivers; Satellite broadcasting; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2129-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.1994.399864
  • Filename
    399864