• DocumentCode
    3287542
  • Title

    Crowd-sourcing satellite image analysis

  • Author

    Christophe, Emmanuel ; Inglada, Jordi ; Maudlin, Jerome

  • Author_Institution
    Centre for Remote Imaging, Sensing & Process., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1430
  • Lastpage
    1433
  • Abstract
    This paper discusses several ways in which a community of volunteers can be put together to generate good quality geographical information by the use of remote sensing image analysis tools. Three different scenarios are proposed and a system architecture, based on existing open source solutions, is suggested and discussed. The main objective of this paper is to motivate contributions to build such a system.
  • Keywords
    geophysical image processing; remote sensing; software architecture; crowd-sourcing satellite image analysis; geographical information; remote sensing image analysis tool; system architecture; Accuracy; Communities; Feature extraction; Image analysis; Remote sensing; Satellites; Software; commons-based peer-production; crowd-sourcing; volunteered geographic information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5648833
  • Filename
    5648833