• DocumentCode
    3116122
  • Title

    Flow feature extraction in oceanographic visualization

  • Author

    Guo, Da ; Evangelinos, Constantinos ; Patrikalakis, Nicholas M.

  • Author_Institution
    Dept. of Ocean Eng., Massachusetts Inst. of Technol., MA
  • fYear
    2004
  • fDate
    19-19 June 2004
  • Firstpage
    162
  • Lastpage
    173
  • Abstract
    This paper presents a novel method to detect an important flow feature, vortices, in the ocean. Our method can detect closed streamlines around vortex cores. Coupled with existing vortex core detection, the entire vortex area, which is the combination of the vortex core and surrounding streamlines, can be detected. A variety of feature extraction methods are presented, and those more pertinent to this study are implemented. Detection results are evaluated in terms of accuracy, clarity and usability
  • Keywords
    computational geometry; data visualisation; feature extraction; flow visualisation; oceanography; vortices; closed streamline detection; flow feature extraction; oceanographic visualization; vortex core detection; Data mining; Data visualization; Feature extraction; Geometry; Marine technology; Oceans; Predictive models; Sea surface; Tensile stress; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics International, 2004. Proceedings
  • Conference_Location
    Crete
  • ISSN
    1530-1052
  • Print_ISBN
    0-7695-2171-1
  • Type

    conf

  • DOI
    10.1109/CGI.2004.1309207
  • Filename
    1309207