Extraction method of ship's three-dimensional feature route based on spherical scanning line

Abstract

The invention discloses a method for extracting a ship's three-dimensional characteristic route based on spherical scanning lines. The ship's three-dimensional feature route extraction method includes the following steps: data preprocessing: preprocessing the original AIS data of the ship to obtain the compressed ship track; track clustering: calculating the structural similarity distance matrix of the sub-track set of the compressed track, According to the structure similarity distance matrix, the sub-trajectory set of the compressed trajectory is density clustered to obtain several sub-trajectory clusters with intra-class similarity; feature route extraction: the characteristic route is extracted from the sub-trajectory clusters by using spherical three-dimensional scanning lines. The ship's three-dimensional characteristic route extraction method based on the spherical scanning line of the present invention can consider the three-dimensional nature of the ship's trajectory, the extraction accuracy of the ship's characteristic route is high, and the obtained three-dimensional characteristic route of the ship is basically consistent with the actual route of the ship.

Description

technical field [0001] The invention relates to the technical field of ship route planning, in particular to a method for extracting a ship's three-dimensional characteristic route based on spherical scanning lines. Background technique [0002] Automatic Identification System (AIS, Automatic Identification System) is a new navigation aid system. The space-borne AIS receives the AIS message information sent by the ship through the low-orbit satellite and forwards the received AIS message to the ground station, so that the management agency can grasp the relevant information of the ship's navigation and realize the monitoring of the sailing ship. Spaceborne AIS can achieve global coverage, and extracting ship characteristic routes from AIS data is beneficial to ship voyage planning, anomaly detection, and ocean situation monitoring, and has important economic and security values ​​for shipping. [0003] At present, the method of extracting ship characteristic routes from AIS...

AI Technical Summary

Problems solved by technology

However, the existing methods process the ship’s trajectory information as two-dimensional data, and the accuracy of the extracted ship’s characteristic route is low, which deviates greatly from the actual route of the ship, which is not conducive to the subsequent ship voyage planning, anomaly detection and Ocean situation monitoring, etc.

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