• DocumentCode
    2883934
  • Title

    Automating the analysis of POLAR UVI images using a hybrid genetic algorithm

  • Author

    Daida, Jason M. ; Richey, C.J. ; Clauer, C.R. ; Baker, Josef B. ; Cummock, J.A. ; Brittnacher, Mitchell J.

  • Author_Institution
    Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    The paper describes a hybrid genetic algorithm method for automating the analysis of images taken from the UVI instrument onboard the POLAR satellite. The amount of data represented by this instrument is on the order of a terabyte. Quantitative analyses of these images have been mostly by manual inspection. The described algorithm architecture is based on a metaphor of biological symbiosis
  • Keywords
    artificial satellites; genetic algorithms; image processing; POLAR UVI image analysis; POLAR satellite; UVI instrument; algorithm architecture; biological symbiosis; hybrid genetic algorithm; quantitative analyses; Algorithm design and analysis; Artificial intelligence; Data analysis; Earth; Genetic algorithms; Image analysis; Instruments; Laboratories; Physics; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-4869-9
  • Type

    conf

  • DOI
    10.1109/ICEC.1998.699501
  • Filename
    699501