• DocumentCode
    2854602
  • Title

    Multiple-class Land Cover Mapping at the Sub-pixel Scale using an Innovated CA Model

  • Author

    Yi, Chang ; Pan, Yaozhong ; Zhang, Jinshui

  • Author_Institution
    Key Lab. of Environ. Change & Natural Disaster, Beijing Normal Univ., Beijing
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    968
  • Lastpage
    971
  • Abstract
    This paper has put forward an innovated CA model to sub-pixel mapping. It has the advantage of easily constructing the rules of CA and the potential for controlling the spatial scale in sub-pixel mapping freely. The neural networks have played an important role in the whole work.
  • Keywords
    cellular automata; geophysics computing; neural nets; terrain mapping; Cellular Automata model; land cover mapping; neural networks; subpixel mapping; Degradation; Educational technology; Feedforward neural networks; Filters; Hopfield neural networks; Image analysis; Neural networks; Paper technology; Pixel; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.249
  • Filename
    4241396
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2854602