An effective vortex detection approach for velocity vector field

Detection of vortices, which are rotating flow features, is an important task to identify, analyze, and understand flow dynamics in a fluid. For example, it can be used to accurately tag nonrigid salient rotation features from large amount of wind vectors captured by orbiting satellites for hurrican...

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Main Author: Ho, Shen-Shyang.
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/84307
http://hdl.handle.net/10220/12931
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460709&isnumber=6460043
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-843072020-05-28T07:17:34Z An effective vortex detection approach for velocity vector field Ho, Shen-Shyang. School of Computer Engineering International Conference on Pattern Recognition (21st : 2012 : Tsukuba, Japan) DRNTU::Engineering::Computer science and engineering Detection of vortices, which are rotating flow features, is an important task to identify, analyze, and understand flow dynamics in a fluid. For example, it can be used to accurately tag nonrigid salient rotation features from large amount of wind vectors captured by orbiting satellites for hurricane research. In this paper, we describe in detail a general vortex detection algorithm motivated by Hough transform and flow vector tree structures. The vortex detection algorithm allows one to find the exact vortex center efficiently if it is in the vector field. A special case of the algorithm has been successfully applied to cyclone annotation and tracking using QuikSCAT satellite wind measurements. 2013-08-02T06:51:07Z 2019-12-06T15:42:31Z 2013-08-02T06:51:07Z 2019-12-06T15:42:31Z 2012 2012 Conference Paper https://hdl.handle.net/10356/84307 http://hdl.handle.net/10220/12931 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460709&isnumber=6460043 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Ho, Shen-Shyang.
An effective vortex detection approach for velocity vector field
description Detection of vortices, which are rotating flow features, is an important task to identify, analyze, and understand flow dynamics in a fluid. For example, it can be used to accurately tag nonrigid salient rotation features from large amount of wind vectors captured by orbiting satellites for hurricane research. In this paper, we describe in detail a general vortex detection algorithm motivated by Hough transform and flow vector tree structures. The vortex detection algorithm allows one to find the exact vortex center efficiently if it is in the vector field. A special case of the algorithm has been successfully applied to cyclone annotation and tracking using QuikSCAT satellite wind measurements.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Ho, Shen-Shyang.
format Conference or Workshop Item
author Ho, Shen-Shyang.
author_sort Ho, Shen-Shyang.
title An effective vortex detection approach for velocity vector field
title_short An effective vortex detection approach for velocity vector field
title_full An effective vortex detection approach for velocity vector field
title_fullStr An effective vortex detection approach for velocity vector field
title_full_unstemmed An effective vortex detection approach for velocity vector field
title_sort effective vortex detection approach for velocity vector field
publishDate 2013
url https://hdl.handle.net/10356/84307
http://hdl.handle.net/10220/12931
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460709&isnumber=6460043
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