• DocumentCode
    469037
  • Title

    Resarch and application of image fusion technology in meteorological satellite

  • Author

    Ye, Xiao-Ling ; Ji, Wei ; Zhang, Ying-Chao ; Li, Wei ; Bai, Jie

  • Author_Institution
    NUIST, Nanjing
  • Volume
    3
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    980
  • Lastpage
    985
  • Abstract
    Aiming at the features of satellite images and the need of meteorology researches and transactions, it is proposed here to utilize the existing image fusion technologies to fuse the meteorological satellite images. Two image fusion methods, wavelet transformation and HIS transformation, are used here. NOAA/AVHRR images and EOS/MODIS images are studied as examples. It is proven that wavelet transformation reserves the spectrum information completely, pinpoints the edge information of observed objects in meteorological satellite images, makes it easy to judge the category and altitude of clouds and is feasible to fuse the satellite images in different channels from the same sensor. HIS transformation combines the spectrum features of high resolution images and low resolution images, adds the images´ spectrum features on the condition of reserving high resolution. So it is useful to identify the direction, area and detail information of object. This method is proven to be applicable to fuse the meteorological satellite images in different resolutions.
  • Keywords
    image fusion; image resolution; wavelet transforms; EOS/MODIS image; HIS transformation; NOAA/AVHRR image; image fusion; image resolution; meteorological satellite image; spectrum information; wavelet transformation; Clouds; Earth Observing System; Fuses; Image fusion; Image resolution; Image sensors; MODIS; Meteorology; Satellites; Sensor fusion; HIS transformation; image fusion; multi-spectrum; wavelet transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4421573
  • Filename
    4421573