• DocumentCode
    2323984
  • Title

    A modified genetic algorithm for matching building sets with the histograms of forces

  • Author

    Buck, Andrew R. ; Keller, James M. ; Skubic, Marjorie

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Missouri-Columbia, Columbia, MO, USA
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents an approach to the task of locating a group of buildings based solely on their relative spatial relationships. This situation can occur in the problem of conflation of a hand or machine drafted map to a satellite image or in matching of two images taken under different viewing conditions (the correspondence problem). Of importance to us is the general text-to-sketch problem where a sketch of building locations must be matched to actual satellite imagery. Information about the nature of these relative positions is captured by the histograms of forces. In this paper, we consider a modified genetic algorithm that allows us to search for a specific group of buildings within a large geospatial database using the histograms of forces in the matching process. A novel mutation operator is introduced to adapt the standard GA to this environment.
  • Keywords
    genetic algorithms; geographic information systems; image matching; visual databases; building location sketch; building set matching; conflation; force histogram; genetic algorithm; geospatial database; matching process; mutation operator; satellite imagery; spatial relationship; text-to-sketch problem; Biological cells; Buildings; Convergence; Databases; Histograms; Nearest neighbor searches; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5585935
  • Filename
    5585935