• DocumentCode
    1513326
  • Title

    Techniques for BRDF Correction of Hyperspectral Mosaics

  • Author

    Collings, Simon ; Caccetta, Peter ; Campbell, Norm ; Wu, Xiaoliang

  • Author_Institution
    Div. of Math., Inf., & Stat., Commonwealth Sci. & Ind. Res. Organ., Wembley, WA, Australia
  • Volume
    48
  • Issue
    10
  • fYear
    2010
  • Firstpage
    3733
  • Lastpage
    3746
  • Abstract
    The need to correct view- and sun-angle-dependent intensity gradients in aerial and satellite images is well established, with bidirectional reflectance distribution function (BRDF) kernel-based techniques receiving much of the recent attention in the literature. In these methods, a plausible (physical or empirical) model of the BRDF is fitted to the data and then used to normalize the image to standard solar and view angles. As yet, very little attention has been paid to the case where the images are hyperspectral (i.e., there are many contiguous bands captured simultaneously), beyond using known techniques on each band. This can lead to loss of spectral integrity and poor agreement on overlapping regions unless careful attention is paid to these factors. In this paper, a range of techniques that can be employed for the purpose of hyperspectral mosaicking is presented.
  • Keywords
    calibration; geophysical image processing; geophysical techniques; photogrammetry; radiometry; BRDF correction; aerial images; bidirectional reflectance distribution function; hyperspectral mosaicking; kernel-based techniques; radiometric calibration; satellite images; spectral integrity; standard solar angle; sun-angle-dependent intensity gradient; view-angle-dependent intensity gradient; Atmospheric modeling; Bidirectional control; Calibration; Distribution functions; Hyperspectral imaging; Lighting; Parameter estimation; Radiometry; Reflectivity; Satellite broadcasting; BRDF correction; hyperspectral; normalisation; radiometric calibration; regularisation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2010.2048574
  • Filename
    5483085