• DocumentCode
    2934322
  • Title

    Super-resolution mapping of the shoreline through soft classification analyses

  • Author

    Foody, Giles M. ; Muslim, Aidy M. ; Atkinson, Peter M.

  • Author_Institution
    Dept. of Geogr., Southampton Univ., UK
  • Volume
    6
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    3429
  • Abstract
    Methods for mapping the shoreline at a sub-pixel level are evaluated. The most accurate predictions of shoreline location were made from an approach based on simulated annealing applied to the output of a soft classification (RMSE=2.25 m).
  • Keywords
    geophysical techniques; image classification; oceanographic regions; oceanographic techniques; simulated annealing; terrain mapping; RMSE; root mean square error; shoreline; simulated annealing; soft classification analyses; subpixel level; super-resolution mapping; Accuracy; Degradation; Geography; Image analysis; Land surface; Pixel; Predictive models; Remote sensing; Simulated annealing; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294811
  • Filename
    1294811