• DocumentCode
    3004514
  • Title

    A New Remote Sensing Image Fusion Method-PWI Transformation

  • Author

    Xia Chun-lin ; Deng Jie

  • Author_Institution
    Sch. of Geomatics, Liaoning Tech. Univ., Fuxin, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on the detailed analysis of PCA transform, WT transform and IHS transform, a new fusion method was presented-PWI transformation: First, multispectral image was transformed by HIS, and then the obtained brightness component-I was transformed by PCA to extract the first principal component- PC1. Using wavelet transform, the PC1 and panchromatic images were fused, and then the results were used to replace the brightness components of the multispectral image. Finally the new multispectral image was got by the inverse IHS transformation. Subjective visual effect analysis and objective evaluation indicate that the new method was superior to the single one of three fusion methods of HIS, the wavelet transform and PCA, enhanced the representability of image spatial detail largely, and well reserved the spectral information of the multispectral image.
  • Keywords
    brightness; image fusion; principal component analysis; remote sensing; wavelet transforms; PCA transform; PWI transformation; WT transform; brightness component; image fusion; inverse IHS transformation; multispectral image; objective evaluation; panchromatic images; principal component analysis; remote sensing; spectral information; visual effect analysis; wavelet transform; Converters; Correlation; Image fusion; Principal component analysis; Remote sensing; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631122
  • Filename
    5631122