• DocumentCode
    513218
  • Title

    GLIDER: A comprehensive software tool to visualize, analyze and mine satellite imagery

  • Author

    Ramachandran, Rahul ; Graves, Sara ; Berendes, Todd ; Maskey, Manil ; Chidambaram, C. ; Christopher, S. ; Hogan, Patrick ; Gaskins, Tom

  • Author_Institution
    Inf. Technol. & Syst. Center, Univ. of Alabama in Huntsville, Huntsville, AL, USA
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    There is a dearth of software tools that allow users to easily visualize, analyze and mine satellite imagery. The few tools that are available are expensive commercial packages that provide limited functionality. As part of a NASA funded project, a software tool named GLIDER is currently being developed to fill this void. GLIDER allows users to visualize and analyze satellite data in its native sensor view. Users can enhance the image by applying different image processing algorithms on the data. GLIDER provides the users with a full suite of pattern recognition and data mining algorithms that can be applied to the satellite imagery to extract thematic information. The suite of algorithms includes both supervised and unsupervised classification algorithms. In addition, users can project satellite imagery and analysis/mining results onto a 3D globe for visualization. GLIDER also allows users to add additional layers to the globe along with the projected image. Users can open multiple views within GLIDER to manage, visualize and analyze many data files all at once. This paper describes the features of GLIDER version 1.0.
  • Keywords
    data mining; geophysical image processing; pattern recognition; GLIDER; data analysis; data mining algorithms; image processing algorithms; image visualisation; pattern recognition; satellite imagery; software tool; thematic information; Data analysis; Data mining; Data visualization; Image analysis; Image processing; NASA; Packaging; Pattern recognition; Satellites; Software tools; Data Mining; Pattern Recognition; Satellite Imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417883
  • Filename
    5417883