• DocumentCode
    2371053
  • Title

    The analysis and experiments of least-squares method for settlements generalization

  • Author

    Wang, Li ; Zhang, Jin ; Yao, Guohong

  • Author_Institution
    Inst. of Geodesy & Geophys., Wuhan, China
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    210
  • Lastpage
    214
  • Abstract
    This paper built the generalization model and algorithm for city building groups according to city road network, utilizing geometry algorithm and least squares estimation. Automatic estimation of the relationship between neighboring single buildings is realized. We proposed the working flow of simplification, combination, re-simplification to determine feature points of buildings and calculate their approximate coordination. And automated chose the constraint conditions according to generalization parameter, then got the optimal constraint solving all at once basing on parameter estimation model with constrained conditions. We realized the synthetic operation including simplification, rotation, shifting, magnify, reduction and combination. The correctness of result has been proved through MATLAB programming.
  • Keywords
    cartography; geographic information systems; least squares approximations; parameter estimation; town and country planning; China; GIS; Informatization of Surveying and Mapping System; MATLAB programming; approximate coordination calculation; city building groups; city road network; combination operation; feature points; geographic information system; geometry algorithm; least squares estimation method; magnify operation; parameter estimation model; reduction operation; relationship automatic estimation; rotation operation; settlements generalization model; shifting operation; simplification operation; working flow; Algorithm design and analysis; Buildings; Cities and towns; Geographic information systems; Least squares approximation; Mathematical model; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2012 International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-1-4577-0343-0
  • Type

    conf

  • DOI
    10.1109/ICIST.2012.6221639
  • Filename
    6221639