• DocumentCode
    3042574
  • Title

    A research on geometric precision correction with high accuracy and high performance

  • Author

    Zhao, Lingjun ; Ma, Yan ; Liu, Dingsheng ; Zhang, Wanfeng ; Wang, Jiang

  • Author_Institution
    Center for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    3370
  • Lastpage
    3373
  • Abstract
    As an important step in the process of remote sensing,geometric precision correction, also known as the most complicated and intensive part in calculation, rectifies the geometric distortion of original remote sensing images caused by various factors by using ground control points. Therefore, the accuracy and processing speed of geometric precision correction have direct effect on the subsequent flows in most remote sensing applications. As for accuracy, the polynomial model and the multi-quadric function model are respectively introduced and then Gopfert model which is the smart combination of these two models is put forward. Speaking of capability, after analyzing various links of geometric precision correction and conventional parallel mode, the asynchronous parallel mode based on parallel I/O and I/O hidden strategy is given to optimize the parallel of Gopfert calculation on the cluster environment. All tests that were done indicate that the method mentioned above greatly improves both the accuracy and the function of geometric precision correction, which can be extensively used in project processing.
  • Keywords
    geophysical image processing; polynomials; remote sensing; Gopfert calculation; Gopfert model; I/O hidden strategy; asynchronous parallel mode; geometric distortion; geometric precision correction; ground control point; multiquadric function model; parallel I/O; polynomial model; remote sensing; Accuracy; Computational modeling; Interpolation; Load modeling; Mathematical model; Remote sensing; Satellites; Geometric Precision Correction; Gopfert; I/O hidden strategy; parallel I/O; parallel computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002693
  • Filename
    6002693