• DocumentCode
    143442
  • Title

    Evaluating similarity measures for hyperspectral classification of tree species at Ordway-Swisher Biological Station

  • Author

    Kalantari, Leila ; Gader, Paul ; Graves, Sarah ; Bohlman, Stephanie

  • Author_Institution
    Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2691
  • Lastpage
    2694
  • Abstract
    In this manuscript, we investigate which similarity measure discriminates the most between reflectance spectra of two sets of labeled hyperspectral pixels. We find preliminary evidence that shared nearest neighbor, a secondary similarity measure unknown to hyperspectral community, relatively helps the separability of a primary similarity measure such as radial basis function.
  • Keywords
    geophysical image processing; hyperspectral imaging; image classification; object detection; vegetation; Ordway-Swisher Biological Station; USA; hyperspectral classification; hyperspectral community; hyperspectral images; hyperspectral pixels; radial basis function; reflectance spectra; shared nearest neighbor; similarity measure evaluation; tree species; Artificial neural networks; Hyperspectral imaging; Q measurement; Standards; Terminology; Vegetation; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947029
  • Filename
    6947029