孙伟峰, 孙少奇, 李小彤, 等, 2024. 结合地理信息与AIS数据的海上航道自适应提取方法[J]. 海洋科学进展, 42(1): 92-101. doi: 10.12362/j.issn.1671-6647.20220901001.
引用本文: 孙伟峰, 孙少奇, 李小彤, 等, 2024. 结合地理信息与AIS数据的海上航道自适应提取方法[J]. 海洋科学进展, 42(1): 92-101. doi: 10.12362/j.issn.1671-6647.20220901001.
SUN W F, SUN S Q, LI X T, et al, 2024. An adaptive extraction method of maritime channels by combining geographic information and AIS data[J]. Advances in Marine Science, 42(1): 92-101. doi: 10.12362/j.issn.1671-6647.20220901001
Citation: SUN W F, SUN S Q, LI X T, et al, 2024. An adaptive extraction method of maritime channels by combining geographic information and AIS data[J]. Advances in Marine Science, 42(1): 92-101. doi: 10.12362/j.issn.1671-6647.20220901001

结合地理信息与AIS数据的海上航道自适应提取方法

An Adaptive Extraction Method of Maritime Channels by Combining Geographic Information and AIS Data

  • 摘要: 海上航道对于海上态势感知具有重要意义。然而,现有的航道提取方法存在航道航路点易丢失、提取准确性不高等问题,本文依据船舶航路点数量与其途经岛屿、港口等地理区域数量相等的准则,提出了一种结合地理信息与自动识别系统(Automatic Identification System, AIS)数据的海上航道自适应提取方法。首先,构建港口之间往返船只AIS航迹数据集,将每条AIS航迹等间距分段并计算每段航迹的平均航速,设置航速差初始阈值,计算相邻航段平均航速差超过阈值的数量作为初始船只转弯次数。其次,统计AIS航迹途经岛屿、港口等地理区域的数量,若其与利用AIS航迹提取的船舶转弯次数不相等,则根据两者的差异自适应调整航速差阈值,重新提取船舶航路点,直至其与途经地理区域的数量相等,将平均航速差超出最终阈值的航迹段的连接点作为船舶航路点。然后,利用基于密度的聚类算法将所有船舶的航路点聚类为航路点集合,计算航路点集合的质心作为航道的航路点。最后,以航道航路点为顶点、航路点之间的连线为边构建有向图,并删除落在陆地上的连线后得到最终的航道提取结果。利用潍坊港—连云港港之间行驶的20条船舶的AIS数据开展了海上航道提取实验,结果表明,与基于交通路径异常检测的航道提取方法相比,本文方法得到的船舶航路点的平均虚检率降低了9.1%,平均漏检率降低了16.7%,显著提升了航道航路点位置提取的准确性。

     

    Abstract: The maritime channel is of great significance to maritime situation awareness. However, the existing channel extraction methods have some problems, for example, the channel waypoints are easily to be lost, and the extraction accuracy is not high. According to the principle that the number of ship's waypoints equals the number of islands, ports and other geographical areas, this study proposed an adaptive extraction method of maritime lanes based on a combination of geographic information and AIS(Automatic Identification System) data. Firstly, constructing the AIS track data set of round-trip ships between ports. Each AIS track in the data set was segmented at equal intervals, and the average speed of each track was calculated. The initial threshold of speed difference was set, and the number of times that the average speed difference of adjacent segments exceeding the threshold was calculated as the initial number of turns of ships. Secondly, counting the number of AIS tracks passing through islands, ports and other geographical areas. If the number of turns was not equal to the number of turns extracted by AIS tracks, it should adaptively adjust the speed difference threshold according to the difference between the two, re-extract the ship's waypoints so as to the number of AIS tracks was equal to the number of geographical areas, and then take the connection point of the track segment where the average speed difference exceeds the final threshold as the ship's waypoint. Then, the density-based spatial clustering of applications with noise was used to cluster the waypoints of all ships into a waypoint set, and the centroid of the waypoint set was calculated as the waypoint of the channel. Finally, taking the route waypoints as the vertices and the connecting lines between the waypoints as the edges, the digraph was constructed, The final route extraction result was obtained after deleting the connecting lines on the land. The AIS data of 20 ships traveling between the Weifang port and the Lianyungang port was used to carry out the maritime channel extraction experiment. The results showed that compared with the channel extraction method based on traffic path anomaly detection, the average false detection rate of ship's waypoints obtained by this method is reduced by 9.1%, and the average missed detection rate is reduced by 16.7%, which significantly improve the accuracy of channel waypoint location extraction.

     

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