• DocumentCode
    2171699
  • Title

    A 2D autoregressive method for deformation evaluation in registration of remote sensing data

  • Author

    Fung, Ko Bong ; Ionescu, Daniela

  • Author_Institution
    Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
  • fYear
    1993
  • fDate
    14-17 Sep 1993
  • Firstpage
    704
  • Abstract
    A registration method is developed based on an A* algorithm in conjunction with a 2D autoregressive model used for image representation. The A* algorithm serves for obtaining the initial pixels which used further for determining the innovation process. Prior to this step the 2D autoregressive parameters are calculated using an initial set of pixels from the original image. The error measured between the innovation and the primitive pixels of the subject image is then considered as the exact function for the A* algorithm. The process is recursively applied until the whole set of primitives is registered. An example illustrates the approach
  • Keywords
    image processing; remote sensing; stochastic processes; time series; 2D autoregressive method; 2D autoregressive parameters; A* algorithm; deformation evaluation; error; exact function; image representation; innovation; primitive pixels; registration; remote sensing data; subject image; Data engineering; Geometry; Image processing; Image registration; Layout; Pixel; Polynomials; Remote sensing; Resonance light scattering; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1993. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1993.332393
  • Filename
    332393