武汉理工大学学报(交通科学与工程版)2024,Vol.48Issue(5) :1017-1022.DOI:10.3963/j.issn.2095-3844.2024.05.035

复杂交汇水域船舶航路网提取方法研究

Research on Extraction Method of Ship Route Network in Complex Intersection Waters

卢俊璋 杨星 刘克中 袁志涛 庄素婕 王伟强
武汉理工大学学报(交通科学与工程版)2024,Vol.48Issue(5) :1017-1022.DOI:10.3963/j.issn.2095-3844.2024.05.035

复杂交汇水域船舶航路网提取方法研究

Research on Extraction Method of Ship Route Network in Complex Intersection Waters

卢俊璋 1杨星 2刘克中 2袁志涛 2庄素婕 1王伟强2
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作者信息

  • 1. 武汉理工大学航运学院 武汉 430063
  • 2. 武汉理工大学航运学院 武汉 430063;内河航运技术湖北省重点实验室 武汉 430063
  • 折叠

摘要

文中提出了一种适用于复杂交汇水域船舶航路网的提取方法.采用轨迹聚类算法获取水域主要船舶交通流,通过水域栅格化将各船舶交通流转化为栅格图像,运用图像细化的原理从不同交通流中提取对应船舶航路,以距离阈值为标准识别航路之间的交汇点,最终形成水域船舶航路网.结果表明:该方法不仅可有效提取水域内主要船舶航路以及航路交汇点,还可同时获取交汇点密集区域.

Abstract

An extraction method of ship route network suitable for complex intersection waters was proposed.Trajectory clustering algorithm was used to obtain the main ship traffic flows in the water area,and each ship traffic flow was converted into a grid image through the water area rasterization.The corresponding ship routes were extracted from different traffic flows by using the principle of im-age thinning,and the intersection points between routes were identified with the distance threshold as the standard,and finally the ship route network in the water area was formed.The results show that this method can not only effectively extract the main ship routes and route intersections in the water area,but also obtain the dense areas of intersections at the same time.

关键词

船舶交通/复杂交汇水域/轨迹聚类/栅格化/图像细化

Key words

marine traffic/complex intersecting waters/trajectory clustering/rasterize/image thinning

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基金项目

国家自然科学基金重点项目(52031009)

出版年

2024
武汉理工大学学报(交通科学与工程版)
武汉理工大学

武汉理工大学学报(交通科学与工程版)

CSTPCD
影响因子:0.462
ISSN:2095-3844
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