Feature detection and visualization of ocean flow field sources, sinks based on vector field decomposition

This paper provides a novel and efficient technique to detect and visualize the important features of ocean-sources and sinks. First, based on K. Polthier's decomposition algorithm, the flow field is decomposed to detect critical points of sources and sinks. Then a novel method is proposed that...

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Bibliographic Details
Main Authors: Xiaofen Chen, Cui Xie, Zhiqiang Wei
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Data visualization
Feature extraction
feature visualization
links
Oceans
Orbits
Organisms
periodic orbits
Periodic structures
Power generation
Power generation economics
separatrices
sources
Topology
topology structure
vector field decomposition
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Description
Summary:This paper provides a novel and efficient technique to detect and visualize the important features of ocean-sources and sinks. First, based on K. Polthier's decomposition algorithm, the flow field is decomposed to detect critical points of sources and sinks. Then a novel method is proposed that detects periodic orbits and separatrices by considering attachment and seperation points. Last, a new systematic technique is represented based on vector field topology and color mapping to generate streamlines and highlight important features of ocean-sources and sinks. Furthermore, the application of vector field visualization algorithms are described to Bohai Sea data to demonstrate its utility.
ISSN:2156-0110
DOI:10.1109/IASP.2009.5054628