Method for hierarchical clustering analysis of warship and ship trajectories based on buffer similarity measurement

A similarity measurement, hierarchical clustering technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., to improve the effect of clustering

Inactive Publication Date: 2015-06-03
NANJING UNIV
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is: to overcome the above-mentioned defects of the prior art, to propose a hierarchical clustering analysis method for ship trajectories based on buffer similarity measurement, to generate vector ship trajectory space clustering results, and to avoid existing The clustering method is no

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  • Method for hierarchical clustering analysis of warship and ship trajectories based on buffer similarity measurement
  • Method for hierarchical clustering analysis of warship and ship trajectories based on buffer similarity measurement
  • Method for hierarchical clustering analysis of warship and ship trajectories based on buffer similarity measurement

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[0040] Taking the South China Sea as an example, the present invention will be described in detail according to the accompanying drawings, so as to make the technical route and operation steps of the present invention clearer.

[0041] In this embodiment, the hierarchical clustering analysis method for ship trajectories based on buffer similarity measurement, the steps are as follows:

[0042] Step 1. Collect the VOSCLIM data from 2003 to 2012 provided by the NOAA National Climatic Data Center (National Climatic Data Center) website, select 263 VOS volunteer observation ships including 2AKI4, and disperse 31,550 ships that passed through the South China Sea area from 2003 to 2012 Point data, select time (year, month, day), longitude, latitude, and ship name attributes as objects to be analyzed, and import them into ArcGIS to generate ship point data, and use Python language and ArcGIS extended development kit ArcPy to realize the trajectory generation algorithm. Through severa...

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Abstract

The invention provides a method for hierarchical clustering analysis of warship and ship trajectories based on buffer similarity measurement. Similarity measurement on channel trajectory clustering based on buffer analysis is given, and weaknesses of large calculated amount and non-steady clustering effect in a conventional method are overcome; at the same time, situations of a huge amount of warship and ship trajectories and existence of noises are considered, a hierarchical clustering method which is efficient and likely to reduce noises is adopted, and a threshold selection process is revealed. Due to the application of the method, a massive amount of warship and ship trajectories on regional sea can be subjected to hierarchical clustering, so that the distribution of main ship routes is mastered and a foundation for finding activity routines of warships and ships, mentoring marine traffic, improving channel environments, guaranteeing channel safety and the like is laid.

Description

technical field [0001] The invention relates to a clustering analysis method for linear trajectories, in particular to a hierarchical clustering analysis method for ship trajectories based on buffer similarity measurement. Background technique [0002] A channel is a ribbon-shaped area formed by the trajectories of ships between ports. The control of the actual waterway is beneficial to the maritime supervision department to discover the rules of ship activities, monitor the sea traffic, improve the environment of the waterway, and ensure the safety of the waterway. Most of the existing ship trajectories come from the automatic report of the ship automatic identification system (AIS). However, the complicated and massive ship trajectory data in the AIS database, coupled with a large amount of ship trajectory noise, makes it difficult to highlight the characteristics of the distribution of major sea lanes in the region. . Therefore, how to reasonably cluster the existing sh...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 刘永学王加胜孙超张思宇周旻曦段曰蔚蒋洁杨育浩
Owner NANJING UNIV
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