地球信息科学学报

地球信息科学学报 ›› 2015, Vol. 17 ›› Issue (10): 1207-1214.doi: 10.3724/SP.J.1047.2015.01207

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基于浮标轨迹的涡旋信息提取算法

魏海涛1,2, 杜云艳1*(), 许开辉1,2()   

  1. 1. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
    2. 山东科技大学测绘科学与工程学院,青岛 266590
  • 收稿日期:2015-03-17 修回日期:2015-07-07 出版日期:2015-10-10 发布日期:2015-10-10
  • 作者简介:

    作者简介：许开辉(1989-),男,硕士生,研究方向为海洋涡旋提取算法。E-mail: xukh@lreis.ac.cn

  • 基金资助:
    海洋公益性专项“海洋环境信息云计算与云服务体系框架应用研究”(201105033；海洋预报综合信息系统(MiFSIS)研究应用(201105017)

A Scheme of Extracting Information of Vortex Based on Floats

WEI Haitao1,2, DU Yunyan1,*(), XU Kaihui1,2()   

  1. 1. State Key Laboratory of Resources & Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  • Received:2015-03-17 Revised:2015-07-07 Online:2015-10-10 Published:2015-10-10
  • Contact: DU Yunyan E-mail:duyy@lreis.ac.cn;xukh@lreis.ac.cn
  • About author:

    *The author: CHEN Nan, E-mail:fjcn99@163.com

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摘要：

浮标在运动过程中如果受到涡旋的影响,会回到之前某一时刻所在的位置,其轨迹中就会出现环状结构,故提取浮标轨迹中的环状结构,就可识别涡旋。鉴此,本文针对ALIS（A Simple Automated Loop Identifying Scheme）算法忽略了这一环状结构中出现的“复杂结构”之不足予以改进,提出了基于浮标轨迹回环结构的涡旋及其移动轨迹提取算法AILIS（An Improved Automated Loop Identifying Scheme）算法。其通过判断环状结构中的轨迹片段是否有自相交对“复杂结构”进行处理,使提取结果更加完善;在此基础上,该算法通过判断涡旋瞬时状态的相似性,可追踪涡旋的部分移动轨迹。本文通过与ALIS算法及其他相关算法结果的对比,并使用SLA数据及HD（Hybrid Detection）、HT（Hybrid Tracking）算法实验结果表明,本文提出的算法能得到更多的海洋涡旋的瞬时状态和移动轨迹,为获取涡旋的物理参数提供重要的途径。

关键词: 涡旋, 识别, 复杂结构, 瞬时状态, 轨迹

Abstract:

When a drifter is influenced by an eddy, its movement will be changed and the drifter may come back to the location where it stayed before. Then there will be loops appeared in the trajectories of the drifter. So we can extract eddies from the trajectories of the drifter by recognizing the loops in the trajectories. Based on this principle, this paper improved the ALIS method proposed by Dong[1] which neglects the complex structure in the results from the extraction of loops, although the complex structure may contain the movement of an eddy. We named this new algorithm AILIS (an improved automated loop identifying scheme). AILIS can further improve the extraction results by judging whether the trajectory segments in loops have self-intersection, and then it can track some parts of the movement of an eddy by judging the similarity between two eddy transient states. This paper made a comparison experiment between ALIS and the algorithm from Li[2] and also made an verification using the results from HD (Hybrid Detection) and HT (Hybrid Tracking) algorithms. The experiment result show that the algorithm proposed by this paper can obtain more transient states and movements of eddies, providing an important approach to obtain the physical parameters of the eddy.

Key words: eddy, recognize, complex structure, transient state, trajectory