首页> 外文会议>2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing) >Feature Detection and Visualization of Ocean Flow Field Sources, Sinks Based on Vector Field Decomposition
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Feature Detection and Visualization of Ocean Flow Field Sources, Sinks Based on Vector Field Decomposition

机译:基于矢量场分解的海流场源,水槽特征检测与可视化

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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.
机译:本文提供了一种新颖有效的技术来检测和可视化海洋资源和汇的重要特征。首先,基于K. Polthier的分解算法,对流场进行分解以检测源和汇的临界点。然后提出了一种通过考虑附着点和分离点来检测周期轨道和分离现象的新方法。最后,提出了一种基于矢量场拓扑和颜色映射的新系统技术,以生成流线并突出海洋源和汇的重要特征。此外,还介绍了矢量场可视化算法在渤海数据中的应用,以证明其实用性。

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