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
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