• DocumentCode
    535922
  • Title

    Two Algorithms and Error Analysis for 3D Terrain Reconstruction of Small Body

  • Author

    Shao, Wei ; Sui, Shulin ; Sun, Lijuan ; Zhao, Wei ; Yao, Wenlong

  • Author_Institution
    Coll. of Autom. & Electron. Eng., QingDao Univ. of Sci. & Technol., Qingdao, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    492
  • Lastpage
    496
  • Abstract
    This paper presents the problem of reconstructing the 3D terrain model for landing of small body spacecraft, in order to approach and land on a small body successfully. We propose an on-line terrain modeling using image sequence provided by an on-board camera. The recursive structure from motion algorithm and the orthography factorization algorithm are proposed to recover the depth maps. The application range and reconstruction precision of the two different methods are demonstrated by the experimental results. It is shown that the has recursive structure from motion algorithm has a higher accuracy, while the orthography factorization algorithm is more robust.
  • Keywords
    cameras; error analysis; geophysical image processing; image reconstruction; image sequences; matrix decomposition; space vehicles; terrain mapping; 3D terrain model; 3D terrain reconstruction; error analysis; image sequence; motion algorithm; onboard camera; online terrain modeling; orthography factorization algorithm; reconstruction precision; recursive structure; small body spacecraft; Approximation algorithms; Cameras; Image reconstruction; Noise; Space vehicles; Surface reconstruction; Three dimensional displays; 3D terrain reconstruction; celestial body exploration; orthography factorizaiton algorithm; recursive algorithm; structure from motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.109
  • Filename
    5655551