• DocumentCode
    2981300
  • Title

    The application of image registration based on genetic algorithm with real data

  • Author

    Wang, Xiaofeng ; Liu, Ying ; Huang, Yinhe

  • Author_Institution
    Nanjing Res. Inst. of Electron. Technol., Nanjing, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    844
  • Lastpage
    847
  • Abstract
    In order to get good SAR-GMTI (Synthetic Aperture Radar-Ground Moving Target Indicator) result, two pictures are demanded to be like at sub-pixel with registration method. This paper proposes a new image registration method, which combine genetic algorithm with traditional image registration algorithm, it uses Fourier algorithm in the pixel image registration, and combine genetic algorithm with amplitude correlation coefficient method in sub-pixel image registration. The validity is demonstrated by real data finally.
  • Keywords
    Fourier transforms; correlation methods; genetic algorithms; image registration; radar imaging; synthetic aperture radar; Fourier algorithm; SAR-GMTI; amplitude correlation coefficient method; genetic algorithm; ground moving target indicator; sub-pixel image registration; synthetic aperture radar; Correlation; Fourier transforms; Genetic algorithms; Image registration; Image sensors; Interference; Interpolation; Pixel; Radar antennas; Synthetic aperture radar; Genetic algorithm; SAR-GMTI; amplitude correlation coefficient method; image registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374187
  • Filename
    5374187