• DocumentCode
    1991299
  • Title

    Assuring Image Quality in Spatial Data Sharing Platform for Disaster Management

  • Author

    Su, Ying ; Yang, Lei

  • Author_Institution
    Center for Resource Sharing Promotion, Inst. of Sci. & Tech. Inf. of China, Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    404
  • Lastpage
    407
  • Abstract
    This paper aims to describe development of a Web-based spatial data sharing platform for disaster management. Alongside functionality, quality of image(IQ) is basic to successful sharing of distributed geo-services.This paper explores IQ provisioning in the context of geo-service sharing for disaster management.The paper presents an IQ model for disaster management and illustrates how user level IQ requirements can be supported in IQ-aware geo-service architecture. In contrast to context-specific IQ assurance approaches, which usually focus on a few variables determined by local needs, this approach provides interactive, multi-granularity and contextsensitive IQ indicators that help experts to build and justify their opinions. The prototype system was designed and validated by enhancing IQ generated by remote sensing through the technologies of visualization.
  • Keywords
    Internet; data visualisation; disasters; geographic information systems; Web-based spatial data sharing platform; disaster management; geo-service sharing; image quality; Data visualization; Disaster management; Educational technology; Geoscience and remote sensing; ISO standards; Image analysis; Image quality; Information analysis; Management training; Service oriented architecture; Disaster management; Image quality; Spatial Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.275
  • Filename
    5070391