Ship AIS trajectory clustering method and device based on convolution auto-encoder

Abstract

The invention relates to a ship AIS trajectory clustering method and device based on a convolution auto-encoder. The ship AIS trajectory clustering method based on a convolutional auto-encoder comprises the following steps: acquiring a continuous trajectory of a ship, and dividing the continuous trajectory into a plurality of sub-trajectories; performing feature engineering extraction on the plurality of sub-trajectories to obtain a sub-trajectory feature matrix; inputting the sub-track feature matrix into a multi-feature fusion auto-encoder to obtain a position feature vector, a speed featurevector and a course feature vector; splicing the position feature vector, the speed feature vector and the course feature vector to obtain a potential feature vector of the ship trajectory; and performing trajectory clustering operation on the extracted ship trajectory feature vector to obtain a ship trajectory clustering result. According to the method, a space-time trajectory measurement methoddoes not need to be selected according to the related data size, trajectory type, calculation complexity, noise and other influence factors, and a similarity distance formula is not needed, so that the calculation time and resources are saved.

Description

technical field [0001] The invention relates to the technical field of software engineering, in particular to a ship AIS track clustering method and device based on a convolutional autoencoder. Background technique [0002] Satellite AIS (Automatic Identification System, ship automatic identification system) is a kind of ship positioning technology. It receives the AIS message information sent by the ship through the low-orbit satellite, and the satellite will receive and decode the AIS message information and forward it to the corresponding earth station, so that Let the land management organization grasp the relevant dynamic information of the ship, and realize the monitoring of the ship sailing in the open sea. [0003] In order to improve the capability and efficiency of ship shipping, the existing technology clusters the ship navigation trajectory information data obtained from the AIS, so that the navigation plan can be predicted according to the clustering results. ...

AI Technical Summary

Problems solved by technology

[0005] Traditional trajectory clustering methods usually need to select the spatio-temporal trajectory measurement method according to the amount of relevant data and type of trajectory, computational complexity, noise and other influencing factors. The main problem is that the selection of the optimal similarity measurement formula requires a lot of prior knowledge and extensive experiments, resulting in wasted computing resources and time

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