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作 者:卢俊璋 杨星[1,2] 刘克中[1,2] 袁志涛[1,2] 庄素婕 王伟强 LU Junzhang;YANG Xing;LIU Kezhong;YUAN Zhitao;ZHUANG Sujie;WANG Weiqiang(School of Navigation,Wuhan University of Technology,Wuhan 430063,China;Hubei Key Laboratory of Inland Shipping Technology,Wuhan 430063,China)
机构地区:[1]武汉理工大学航运学院,武汉430063 [2]武汉理工大学内河航运技术湖北省重点实验室,武汉430063
出 处:《武汉理工大学学报(交通科学与工程版)》2024年第5期1017-1022,共6页Journal of Wuhan University of Technology(Transportation Science & Engineering)
基 金:国家自然科学基金重点项目(52031009)。
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.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 image 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
分 类 号:U675.7[交通运输工程—船舶及航道工程]
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