• DocumentCode
    2320297
  • Title

    Research on RSDOM and DLG quality mutual check and evaluation technique

  • Author

    Yang, Cao ; WeiDong, Song

  • Author_Institution
    Dept. of Coll. of Surveying & Geographic Sci., LiaoNing Tech. Univ., Fuxin
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The national western spatial data RSDOM and DLG quality mutual inspection method based on characteristic feature extraction and linear objects matching have been put forward according to the National Western Surveying and Mapping Project on 1:50000 Topological Maps Blank Area. In the first place, how to extract the characteristic feature in RSDOM is expounded. Secondly, the standardization processing of the graphic linear objects which describe the same geographical feature is elaborately illustrated. Next, spatial computing formulas that the evaluation process demands are given. Finally, the homologous software of RSDOM and DLG quality mutual check and evaluation is developed to control spatial data quality. Therefore a complete RSDOM and DLG quality mutual control and evaluation technique system is founded. It shows that the check and evaluation methods are feasible and software has higher automation from the experiment.
  • Keywords
    feature extraction; geographic information systems; geophysics computing; image matching; image processing; National Western Surveying and Mapping Project; RSDOM-DLG quality mutual inspection-evaluation method; Topological Maps Blank Area; feature extraction; graphic linear objects processing; linear objects matching; spatial computing formulas; spatial data quality control; Automatic control; Data mining; Educational institutions; Feature extraction; Geographic Information Systems; Graphics; Inspection; Remote sensing; Software quality; Standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137579
  • Filename
    5137579