• DocumentCode
    3025058
  • Title

    Research of spatial topological relation model based on GeoSOT

  • Author

    Dong Chen ; Chengqi Cheng ; Shuhua Song ; Fang Dong ; Runqiang Chen

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    786
  • Lastpage
    789
  • Abstract
    To solve the disadvantages of high difficulty and complexity in studying the spatial topological relation method on different resolution remote sensing images, this paper proposes a spatial topological relationship model based on GeoSOT, which is one of the global subdivision grids. To express spatial objects on different resolution remote sensing images, this paper introduces the spatial objects subdivision location identification. Then, the model calculates spatial topological relation by comparing location identifications in combined table. At last, test shows that it is feasible to analyze the spatial objects topological relations based on GeoSOT and it has high efficiency operation significantly, especially for complicated spatial objects.
  • Keywords
    geophysical signal processing; remote sensing; topology; GeoSOT; global subdivision grids; remote sensing; spatial objects subdivision location identification; spatial topological relation model; Analytical models; Educational institutions; Niobium; Object recognition; Remote sensing; Spatial resolution; GeoSOT; combined table; location identification model; spatial topological relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721275
  • Filename
    6721275