• DocumentCode
    497093
  • Title

    Estimate the Number of Endmembers for Hyperspectral Imagery

  • Author

    Chen Wei ; Yu Xu-chu ; Wang He

  • Author_Institution
    Inst. of surveying & mapping, Inf. Eng. Univ., Zhengzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    In practice, the determination of the number of endmembers for hyperspectral images of the areas without priori knowledge is highly difficult. This article brings forward an automatic method, which can estimate the number of endmembers for hyperspectral imagery without priori knowledge of the area, according to the theory of orthogonal subspace projection (OSP). The paper carries out the experiments by synthetic hyperspectral data and real hyperspectral image collected by PHI, and the result of the experiment is satisfying.
  • Keywords
    geophysical signal processing; image processing; remote sensing; PHI; endmembers number estimation; hyperspectral imagery; orthogonal subspace projection; Electronic mail; Geology; Helium; Hyperspectral imaging; Hyperspectral sensors; Knowledge engineering; Layout; Noise reduction; Remote sensing; Vectors; Denoising; Endmember; Hyperspectral Imagery; Linear Mixture Model; OSP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.366
  • Filename
    5200145