• DocumentCode
    468249
  • Title

    Research on the Fusion Methods with High Information Preservation

  • Author

    Li, Wenbo ; Zhang, Qiuwen ; Zhang, Yongchuan

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    2
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    487
  • Lastpage
    491
  • Abstract
    Modified Brovey transform (MBT) based on the principle of Brovey transform (BT) has been proposed in this paper to merge each band of remotely sensed imagery. Three information fusion methods, wavelet transform, smoothing filter-based intensity modulation (SFIM), and MBT have been employed to merge the multi-spectral images with panchromatic image of IKONOS sensor. The visual evaluation and quantitative analysis confirm that MBT has the highest spatial frequency information preservation while SFIM enjoys the best preservation of spectral information, and comparatively, wavelet transform has a suboptimal spectral maintenance and the lowest high spatial frequency gain of those three algorithms.
  • Keywords
    image fusion; intensity modulation; smoothing methods; spectral analysis; wavelet transforms; IKONOS sensor; information fusion method; information preservation; modified Brovey transform; multispectral image; panchromatic image; remotely sensed imagery; smoothing filter-based intensity modulation; spatial frequency gain; suboptimal spectral maintenance; wavelet transform; Frequency; Image sensors; Information analysis; Information filtering; Information filters; Intensity modulation; Multispectral imaging; Sensor fusion; Smoothing methods; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.480
  • Filename
    4406126