Feature Detection and Visualization of Ocean Flow Field Sources, Sinks Based on Vector Field Decomposition

被引:0
作者
Chen, Xiaofen [1 ]
Xie, Cui [1 ]
Wei, Zhiqiang [1 ]
机构
[1] Ocean Univ China, Dept Comp Sci & Technol, Qingdao, Shandong, Peoples R China
来源
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND SIGNAL PROCESSING | 2009年
关键词
feature visualization; vector field decomposition; sources; links; periodic orbits; separatrices; topology structure;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:260 / 264
页数:5
相关论文
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