• DocumentCode
    559950
  • Title

    A New Automatic Matching Algorithm of Aerial Remote Sensing Images

  • Author

    Wang, Zhiqiang ; Cheng, Hong ; Sun, Wenbang ; Yu, Guang ; Wu, Di

  • Author_Institution
    Dept. of Specialty, Aviation Univ. of Air Force, Changchun, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    In order to solve the traditional problems of matching algorithms such as false-matching and inefficiency, an automatic matching algorithm of aerial remote sensing images based on maximum gradient phase correlation is proposed in this paper. By combining Fourier phase correlation and image gradient, the new algorithm can be broken down into the rough matching and the precise matching with a specific example to show the feasibility of the algorithm in solving the false-matching problem. Experiments show that the aerial remote sensing images are matched automatically and the improved method is steady and the optical aerial remote sensing images can be matched effectively.
  • Keywords
    geophysical image processing; gradient methods; image matching; remote sensing; Fourier phase correlation; aerial remote sensing images; automatic matching algorithm; image gradient; maximum gradient phase correlation; Algorithm design and analysis; Correlation; Fourier transforms; Image matching; Image processing; Real time systems; Remote sensing; Fourier transform; Image matching; maximum gradient; phase correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.145
  • Filename
    6113546