• DocumentCode
    3293123
  • Title

    Estimation of satellite pitch attitude from aster image data

  • Author

    Okuda, Tetsuya ; Iwasaki, Akira

  • Author_Institution
    Res. Center for Adv. Technol. & Sci., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1070
  • Lastpage
    1073
  • Abstract
    In this study, we demonstrate an automatic methodology for estimating the satellite pitch vibration by using information of sensors with small parallax and correcting the images taken by the sensors themselves. Consequently, We can get corrected digital elevation model (DEM) from the images disturbed by satellite pitch vibration. A satellite often vibrates in roll and pitch directions, and each component has a bad influence on photogrammetry. Since the pitch component directly deteriorates the accuracy of DEM in case of along-track stereo sensor, we focus on estimating and correcting pitch vibration. Our methodology is particularly useful for small parallax stereo system, because sub-pixel image matching precision is needed for small parallax stereo system and satellite vibration causes a critical problem.
  • Keywords
    artificial satellites; attitude measurement; digital elevation models; image matching; photogrammetry; stereo image processing; ASTER image data; advanced spaceborne thermal emission and reflection radiometer; along-track stereo sensor; digital elevation model; photogrammetry; satellite pitch attitude estimation; satellite pitch vibration; satellite vibration; sensor information; small parallax stereo system; sub-pixel image matching precision; Accuracy; Correlation; Optical sensors; Satellite broadcasting; Satellites; Vibrations; bundle adjustment; digital elevation model (DEM); feature matching; photogrammetry; small parallax stereo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649174
  • Filename
    5649174