• DocumentCode
    2961824
  • Title

    An automatic method of coarse registration between multi-source satellite images

  • Author

    ZhaoHui, Zhang ; ChunHong, Pan ; SongDe, Ma

  • Author_Institution
    Sch. of Math. & Inf., Hebei Normal Univ., Shijiazhuang, China
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    205
  • Lastpage
    209
  • Abstract
    The paper gives an automatic registration method for coarsely aligning multi-source satellite images. The contributions of the presented method lie in its novel feature matching strategy. Area features are depicted by a shape matrix and principle component analysis (PCA). By fusing the constraints of shape similarity and object orientation consistency of corresponding area objects, the ambiguity of feature matching can be effectively avoided. The registration results for SAR-optical satellite images demonstrate the robustness and efficiency of the given method.
  • Keywords
    feature extraction; geophysical signal processing; image matching; image registration; matrix algebra; principal component analysis; remote sensing by radar; synthetic aperture radar; PCA; SAR images; coarse registration; feature matching strategy; multi-source image registration; object orientation consistency; principle component analysis; satellite image registration; shape matrix; shape similarity; Gravity; Image edge detection; Image recognition; Image registration; Mathematics; Pattern recognition; Principal component analysis; Remote sensing; Satellites; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
  • Print_ISBN
    0-7803-8894-1
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2004.1417463
  • Filename
    1417463