• DocumentCode
    3343217
  • Title

    Multi-sensor Satellite Image Sub-pixel Registration

  • Author

    Xing, Shuai ; Xu, Qing ; Ma, Dongyang

  • Author_Institution
    Inf. Eng. Univ., Zhengzhou
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    713
  • Lastpage
    718
  • Abstract
    One way of geocoding a remote sensing image is to register it to an existing orthoimage. A multi-sensor and multi-resolution remote sensing image sub-pixel registration scheme is proposed in this paper. In this registration scheme, point feature, three image matching algorithms (ICM, PRM, ISM) and three constraints (APC, CDM, ICC) are used. They guarantee that the precision of point matching reaches sub-pixel and the distribution of feature points are self-adapted to the area terrain. Then TIN is constructed with feature points. Finally the target image is rectified based on TIN with the improved triangle filling algorithm. Experiment results demonstrate that the registration accuracy of SPOT5 panchromatic image (2.5 m/pixel) is 2-3 m and SPOT5 multi-spectral image (10 m/pixel) is 5-6 m. Since the method has good feasibility, efficiency and accuracy, it has been used in some emergencies such as disaster evaluation, paroxysmal epidemic situation and local war.
  • Keywords
    geophysical signal processing; image matching; image resolution; remote sensing; sensor fusion; SPOT5 panchromatic image; feature points; image matching algorithms; multi-sensor satellite image sub-pixel registration; multi-spectral image; remote sensing image; Filling; Graphics; Image matching; Image registration; Image resolution; Multispectral imaging; Pixel; Remote sensing; Satellites; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    0-7695-2929-1
  • Type

    conf

  • DOI
    10.1109/ICIG.2007.57
  • Filename
    4297174