• DocumentCode
    2146224
  • Title

    SFIM based IHS image fusion scheme

  • Author

    Li, Shaobo ; Wang, Ziniu

  • Author_Institution
    College of Computer Science and Information, Guizhou University, Guiyang, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    6895
  • Lastpage
    6898
  • Abstract
    In this paper, a novel remote sensing image fusion method was proposed based on IHS transform and brightness adjustment using QB multi-spectral data and high-resolution SPOT data combined SFIM algorithm. First, the traditional HIS fusion algorithm and the combination of wavelet and HIS fusion algorithm were analyzed; Secondly, according to the shortage of traditional HIS fusion, this paper proposed a remote sensing image fusion method based on IHS transform and brightness adjustment; Finally, two experiments were conducted to compare the three methods, three indicators: the information entropy, root mean square error and peak signal to noise ratio were used to evaluate the capability of the three methods mentioned above. Experiments result showed that the improved algorithm used in fusion performance is better, and the complexity of the algorithm reduced significantly.
  • Keywords
    Brightness; Image fusion; PSNR; Remote sensing; Satellites; Wavelet transforms; HIS algorithm; Image Fusion; SFIM algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691176
  • Filename
    5691176