• DocumentCode
    2200401
  • Title

    Using standardized metadata to improve the search and analysis of remote sensing data for change detection

  • Author

    Hong, Jung-Hong ; Yeh, Yao-Hsien

  • Author_Institution
    Dept. of Geoamtics, Nat. Cheng-Kung Univ., Tainan, Taiwan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    535
  • Lastpage
    538
  • Abstract
    The awareness about the changes occurred in our living earth has received a tremendous attention from a variety of research and application domains. For such missions, it is advantageous to take full advantages of the abundant geospatial data available in sharing environment. The diverse types and overwhelming volume of available georesource, however, impedes such expectations. This paper focuses on the use of RS data to aid change detection. A set of metadata elements from ISO19115 are selected and their searching and usage strategies are developed. The standardized metadata helps to improve the searching efficiency by adding constraints for intelligently filtering data that matches the characteristics of the reference RS data. It also facilitates the sharing of information collected by different organizations to improve the precision and accuracy of the analyzed results, and guides RS data providers to supply all the necessary information to the analyzers to aid decision making.
  • Keywords
    ISO standards; data analysis; geophysics computing; information retrieval; meta data; remote sensing; visual databases; ISO19115; change detection; geospatial data; intelligent data filtering; reference remote sensing data; remote sensing data analysis; remote sensing data search; searching efficiency; standardized metadata; Accuracy; Distributed databases; Earth; Geospatial analysis; Radiometry; Remote sensing; Spatial resolution; Metadata; SDI; change detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350860
  • Filename
    6350860