• DocumentCode
    3217493
  • Title

    Intelligent visualization of radar data

  • Author

    Capraro, C. ; Berdan, G. ; Caoraro, C. ; Cavo, V. ; Genello, G. ; Wicks, M.

  • Author_Institution
    US Air Force Rome Lab., USA
  • fYear
    1997
  • fDate
    14-16 Oct 1997
  • Firstpage
    692
  • Lastpage
    696
  • Abstract
    This paper discusses the utilization of state-of-the-art software tools by radar research and development scientist and engineers, providing a capability to search, select, process and distribute gigabytes of radar data easily and efficiently. Our approach allows the user to view the radar scene via virtual reality visualization tools. The user is permitted to navigate the radar flight profile, view and identify: terrain types, cultural features and potential targets. Digitized terrain data, land use land cover data, digital line graph data, radar auxiliary data, and target beacon data are stored in relational database management systems. These software tools query the database(s) and render different areas in virtual reality, allowing the user to visualize the terrain, identify targets, and through color codes and text, present to the user information about the objects the radar is encountering. This capability allows the user to intelligently select training data and the length of the coherent processing interval (CPI) for detection processing, and aid in further analysis for the characterization of the interference environment
  • Keywords
    radar applications; coherent processing interval; color codes; cultural features; database querying; detection processing; digital line graph data; digitized terrain data; engineers; intelligent visualization; interference environment; land use land cover data; radar auxiliary data; radar data; radar flight profile; radar research and development; radar scene; relational database management systems; scientist; software tools; target beacon data; terrain types; text; training data selection; virtual reality visualization tools;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar 97 (Conf. Publ. No. 449)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-698-9
  • Type

    conf

  • DOI
    10.1049/cp:19971764
  • Filename
    629269