• DocumentCode
    3713660
  • Title

    Automated target detection using K-means based on Per-Norm for invariant illumination in hyperspectral image

  • Author

    Heekang Kim;Sungho Kim

  • Author_Institution
    Department of Electronic Engineering, Yeungnam University, Deahak-ro 280, Gyungsan-si, Gyeongbuk 712-449, Korea
  • fYear
    2015
  • Firstpage
    570
  • Lastpage
    572
  • Abstract
    When detecting target in hyperspectral images, the same material shows different spectral information, because there are variety spectral intensity by shadow, shading and highlight. This paper proposes more effective spectral normalization than the traditional spectral normalization and target detection using Per-Norm.
  • Keywords
    "Hyperspectral imaging","Object detection","Lighting","Classification algorithms","Yttrium","Clustering algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/URAI.2015.7358832
  • Filename
    7358832