• DocumentCode
    3447784
  • Title

    A method for characterizing information of anomaly change of land-use types

  • Author

    Hui Ren ; Hongrui Zhao

  • Author_Institution
    Dept. of Civil Eng., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Land use types are important parameters in the evaluation of the ecological environment. Through the analysis of land use change information, we can partly gain the understanding of the evolution status of a region´s economic, social, cultural, and ecological environment. Based on the theory of probability and introducing the information entropy concept, the paper puts forward the concept of land-use anomaly entropy (LUAE). Through actual experiment, it shows that the index can express the land-use change information effectively. The requirement is low for the registration accuracy and resolution of the images, so that can be used to analysis multi-source and multi-scale images, which will has a good application prospect.
  • Keywords
    geophysical image processing; geophysical techniques; image registration; LUAE concept; cultural environment; ecological environment; ecological environment evaluation; economic environment; image registration accuracy; image resolution; information entropy concept; land use change information; land-use anomaly entropy; land-use type anomaly change; multiscale image analysis; multisource image analysis; social environment; Accuracy; Data mining; Entropy; Image resolution; Indexes; Remote sensing; Satellites; entropy; land-use change;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626200
  • Filename
    6626200