• DocumentCode
    677326
  • Title

    Multi-spectral image fusion based on the characteristic of imaging system

  • Author

    Jinling Wang ; Kefei Song ; Xiaojun He

  • Author_Institution
    Changchun Inst. of Opt., fine Mech. & Phys., Changchun, China
  • fYear
    2013
  • fDate
    26-28 Aug. 2013
  • Firstpage
    643
  • Lastpage
    647
  • Abstract
    For advancing the image quantity of multi-spectral and panchromatic images fusion, this paper presents an algorithm of multi-spectral image fusion based on the characteristic of imaging system. This algorithm firstly executes multi-resolution decomposition to multi-spectral and panchromatic images adopting with Nonsubsample contourlet transform, then establishes the panchromatic image injection model by analysising the imaging system characteristic of multi-spectral image in detail, and injects the detail information of panchromatic image to every spectrum of multi-spectral image by this model. At last, the decomposition coefficient is reconstructed by inverse nonsubsample contourlet transform so that the final fusion image is obtained. The experiment shows that the algorithm of this paper can not only fuses the detail information of panchromatic image adequately, but also retains the spectral characteristic of multi-spectral image better, reduces the spectrum distortion problem effectively.
  • Keywords
    image fusion; transforms; image quantity; imaging system; multiresolution decomposition; multispectral image fusion; nonsubsample contourlet transform; panchromatic image fusion; panchromatic image injection model; spectrum distortion problem; Algorithm design and analysis; Charge coupled devices; Earth; Equations; Image fusion; Imaging; Mathematical model; image fusion; imaging system characteristic; multi-spectral image; nonsubsample contourlet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2013 IEEE International Conference on
  • Conference_Location
    Yinchuan
  • Type

    conf

  • DOI
    10.1109/ICInfA.2013.6720375
  • Filename
    6720375