• DocumentCode
    1510491
  • Title

    Georegistration of airborne hyperspectral image data

  • Author

    Lee, Changno ; Bethel, James

  • Author_Institution
    Sch. of Civil Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    39
  • Issue
    7
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    1347
  • Lastpage
    1351
  • Abstract
    A suite of geometric sensor and platform modeling tools has been developed which have achieved consistent subpixel accuracy in orthorectification experiments. Aircraft platforms in turbulent atmospheric conditions present unique challenges and have required creative modeling approaches. The geometric relationship between an image point and a ground object has been modeled by rigorous photogrammetric methods. First and second order Gauss-Markov processes have been used to estimate the platform trajectory. These methods have been successfully applied to HYDICE and HyMap data sets. The most important contributors to the subpixel rectification accuracy have been the first order Gauss-Markov model with control linear features
  • Keywords
    geophysical signal processing; geophysical techniques; image registration; multidimensional signal processing; photogrammetry; remote sensing; terrain mapping; Gauss-Markov process; HYDICE; HyMap; accuracy; airborne hyperspectral method; control linear features; first order Gauss-Markov model; geometric sensor; geophysical measurement technique; georegistration; image processing; image registration; land surface; multispectral remote sensing; orthorectification; photogrammetry; platform modeling tool; remote sensing; subpixel rectification; terrain mapping; turbulent atmospheric conditions; Aircraft; Atmospheric modeling; Data analysis; Gaussian processes; Global Positioning System; Hyperspectral imaging; Hyperspectral sensors; Image sensors; Solid modeling; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.934067
  • Filename
    934067