A port identification method based on ship track big data

A technology of ship trajectory and identification method, which is applied in the field of port identification, and can solve the problem of port identification without ship trajectory data

Active Publication Date: 2019-05-10
中国船舶重工集团公司第七研究院
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Problems solved by technology

[0004] At present, there are few studies on using ship track data to identify port location information, and there are no related patents on using ship track data for port identification at home and abroad

Method used

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  • A port identification method based on ship track big data
  • A port identification method based on ship track big data
  • A port identification method based on ship track big data

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Embodiment Construction

[0032] see figure 1 , The port is a transportation hub for ships to safely enter and exit and berth, an assembly point and hub for water and land transportation, and it is also the key basic information for analyzing ship behavior activities. The identification of traditional ports is mainly based on satellite remote sensing images. When the basic information of prior port analysis is lacking, the location and range of ports can be automatically identified and extracted by analyzing and identifying the activity status of ships and the group behavior formed by surrounding ships. Extracting port distribution information through ship track data mining can also identify "potential" or even "smuggling" berthing dock information. The port automatic identification method is divided into three steps: ship static state identification, port berthing ship extraction, and port berthing ship clustering.

[0033] The port identification method based on the big data of ship trajectory provi...

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Abstract

The invention provides a port identification method based on ship track big data. The method is started from relatively neglected ship static state recognition in traditional research; the novel portberthing ship extraction method is provided, anchored ships are ingeniously filtered out, algorithm parameters are optimized through statistical analysis of a large number of historical ship navigation information, and finally automatic identification and extraction of the port position and range are achieved through a classical density clustering method. Potential and even secret berth wharf information which cannot be recognized based on remote sensing images traditionally can be recognized and serves as a beneficial supplement of an existing port recognition technology. Furthermore, important basic information is provided for evaluating the throughput of a port activity area and a port, analyzing ship behavior activities and identifying an abnormal ship target.

Description

technical field [0001] The invention relates to the technical field of port identification, in particular to a port identification method based on big data of ship trajectory. Background technique [0002] Port identification methods, traditional research is mainly based on satellite remote sensing images (gray-scale remote sensing images, high-resolution remote sensing images, SAR remote sensing images) through sea and land segmentation, port outline extraction, feature extraction and other steps for identification. However, port identification methods based on satellite remote sensing images cannot identify "remote" or "private" small ports, which are the most important information in the application of abnormal ship target identification. [0003] The explosion of ship position data has driven approaches to port identification driven by spatial trajectory data. Giuliana Pallotta of the Center for Marine Research and Experiments (CMRE) of NATO proposed to use incremental ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 李怀瑜
Owner 中国船舶重工集团公司第七研究院
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