• DocumentCode
    1903338
  • Title

    Spectral Reconstruction of Hyperion Data Based on FLAASH Model

  • Author

    Liu, Suihua ; Yan, Lei ; Duan, Yini ; Yang, Bin

  • Author_Institution
    Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
  • Volume
    3
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    526
  • Lastpage
    529
  • Abstract
    A method of spectral reconstruction based on FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hyper cubes) is introduced in this paper. A scene of Hyper ion image is adopted with hyper spectral data in October 14th, 2008 in the Mountainous regions of Guizhou. The FLAASH model is adopted spectral reconstruction five typical objects. Atmospheric water vapor absorption band are removed (1346nm-1467nm and 1800nm-1971nm). The results show that, Vegetation reflectance in the visible band has a significant reflectance peak in green band, and have high reflection in the near infrared region due to multiple scattering effects. Water in the entire spectral range has a low reflection. Experiment and reasonable result could be achieved to improve performance of Hyperion.
  • Keywords
    atmospheric humidity; atmospheric techniques; geophysical image processing; image reconstruction; AD 2008 10 14; FLAASH model; Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes; Guizhou mountainous regions; Hyperion data; Hyperion image; atmospheric water vapor absorption band; green band; hypersepctral data; infrared region; multiple scattering effects; reflectance peak; remote sensing data; spectral reconstruction; vegetation reflectance; Atmospheric measurements; Atmospheric modeling; Hyperspectral imaging; Image reconstruction; Reflectivity; Terrestrial atmosphere; FLAASH; atmosphere correction; hyperion; spectral reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.386
  • Filename
    6188229