• DocumentCode
    3355516
  • Title

    Enhanced visualization of hyperspectral images

  • Author

    Mahmood, Zahid ; Scheunders, Paul

  • Author_Institution
    IBBT-Vision Lab., Univ. of Antwerp, Antwerp, Belgium
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    991
  • Lastpage
    994
  • Abstract
    An enhanced visualization algorithm for hyperspectral images (HSI) is presented in this paper. The visualization is based on the projection onto color matching functions of the human vision system. A contrast enhancement procedure is introduced making use of multiband gradient information. Both visualization and enhancement are combined into a multiresolution framework using wavelets. The HSI is transformed into a specific representation (Multiscale Fundamental Form representation), in which the enhancement is performed at the level of the wavelet detail subbands, while the visualization is performed at the level of the low resolution subbands. The results are compared to state of art hyperspectral visualization algorithms.
  • Keywords
    data visualisation; geophysical image processing; gradient methods; image colour analysis; image matching; image resolution; wavelet transforms; color matching; human vision system; hyperspectral image; hyperspectral visualization algorithm; multiband gradient information; multiresolution framework; multiscale fundamental form representation; wavelets; Hyperspectral imaging; Image color analysis; Image resolution; Noise; Principal component analysis; Visualization; Wavelet transforms; Dimensionality Reduction; Hyperspectral; Visualization; Wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652813
  • Filename
    5652813