• DocumentCode
    3313068
  • Title

    Discussion on the automatic extraction of urban area´s variation info from TM image

  • Author

    Ziwu Wang ; Jingshi Li ; Zhijie Zheng

  • Author_Institution
    Anhui Vocational Coll. of Posts & Telecom, Hefei, China
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2610
  • Lastpage
    2613
  • Abstract
    The extraction of urban area´s variation info from remote sensing image is an important step for monitoring and measuring urban change. In this paper, a structural method will construct for automatically extracting variation information of urban area. The methodology is constructed by L-Ratio method which is base on PCA, method of digital image processing (threshold value, mask layer and so on) and opening of mathematical morphology. It acquired a good experimental effect.
  • Keywords
    feature extraction; geophysical image processing; principal component analysis; remote sensing; L-Ratio method; TM image; Thematic Mapper; digital image processing; principal component analysis; urban area variation extraction; Buildings; Cities and towns; Data mining; Noise measurement; Principal component analysis; Remote sensing; Urban areas; PCA; TM image; automatic extraction; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019997
  • Filename
    6019997