• DocumentCode
    595374
  • Title

    Descriptor correlation analysis for remote sensing image multi-scale classification

  • Author

    dos Santos, Jefersson A. ; Faria, Fabio A. ; Da S Torres, Ricardo ; Rocha, A. ; Gosselin, Philippe-Henri ; Philipp-Foliguet, Sylvie ; Falcao, Alexandre X

  • Author_Institution
    RECOD Lab., Univ. of Campinas, Campinas, Brazil
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    3078
  • Lastpage
    3081
  • Abstract
    This paper addresses the problem of remote sensing image multi-scale classification by: (i) showing that using multiple scales does improve classification results, but not all scales have the same importance; (ii) showing that image descriptors do not offer the same contribution at all scales, as commonly thought, and some of them are very correlated; (iii) introducing a simple approach to automatically select segmentation scales, descriptors, and classifiers based on correlation and accuracy analysis.
  • Keywords
    correlation theory; geophysical image processing; image classification; image segmentation; remote sensing; accuracy analysis; automatic segmentation scale selection; correlation-based classifiers; descriptor correlation analysis; image descriptors; remote sensing image multiscale classification; Accuracy; Correlation; Image color analysis; Image segmentation; Indexes; Remote sensing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460815