• DocumentCode
    2886405
  • Title

    Hyperspectral imagery visualization using band selection

  • Author

    Hongjun Su ; Qian Du ; Peijun Du

  • Author_Institution
    Sch. of Earth Sci. & Eng., Hohai Univ., Nanjing, China
  • fYear
    2012
  • fDate
    4-7 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper investigates hyperspectral image display based on selection of three spectral channels to build a red-green-blue (RGB) composite. A series of band selection algorithms are implemented and compared for this purpose. In particular, three color composition schemes based on visualization-oriented spectral segmentations are proposed. The resulting color displays are evaluated in terms of class separability using a statistical classifier and perceptual color distance. Results demonstrate that three-band selection is a simple and effective technique for hyprespectral image visualization.
  • Keywords
    data visualisation; geophysical image processing; hyperspectral imaging; image classification; image colour analysis; image segmentation; statistical analysis; RGB composite; band selection; class separability; color composition schemes; color displays; hyperspectral image display; hyperspectral imagery visualization; perceptual color distance; red-green-blue composite; spectral channels; statistical classifier; visualization-oriented spectral segmentations; Abstracts; Classification algorithms; Hyperspectral imaging; Image color analysis; Indexes; Testing; Visualization; Visualization; band selection; color scheme; hyperspectral imaging; spectral segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3405-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2012.6874236
  • Filename
    6874236