• DocumentCode
    3326273
  • Title

    Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation

  • Author

    Hasan, Mahmudul ; Pickering, Mark ; Robles-Kelly, Antonio ; Zhou, Jun ; Jia, Xiuping

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2329
  • Lastpage
    2332
  • Abstract
    In this paper we address the problem of image fusion between imagery acquired by trichromatic sensors and hyperspectral imagers. We do this by presenting a method aimed at registering a high-resolution trichromatic image with lower resolution hyperspectral data. The method presented here maps the hyperspectral image into the grayscale image so as to employ the cross cumulative residual entropy for purposes of multimodal registration. We illustrate the utility of our approach by presenting registration results on a set of surveillance image pairs consisting of a set of high-oblique colour and hyperspectral images.
  • Keywords
    entropy; geophysical image processing; image colour analysis; image fusion; image registration; image resolution; cross cumulative residual entropy maximisation; grayscale image; high-oblique colour image; high-resolution trichromatic image; hyperspectral image; image fusion; image registration; multimodal registration; surveillance image; trichromatic sensor; Cameras; Entropy; Hyperspectral imaging; Image registration; Mutual information; Pixel; CCRE; Hyperspectral imagery; Image registration; Mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651054
  • Filename
    5651054