Ship trajectory classification method based on feature selection and hyper-parameter optimization
A ship trajectory and feature selection technology, applied in special data processing applications, geographic information databases, structured data retrieval, etc., can solve the problem of no combination of dynamic and static features, no classification of multiple ship trajectories, no solution to AIS, etc. problem, achieve accurate and reliable classification results, facilitate machine learning, and overcome imbalance problems
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[0070] In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
[0071] like figure 1 As shown, a flow chart of the steps of a ship trajectory classification method based on feature selection and hyperparameter optimization of the present invention is shown, and the method may specifically include the following steps:
[0072] The first step is to prepare the nautical trajectory data, perform data cleaning and preprocessing on the nautical trajectory data, and obtain the candidate data of the nautical trajectory data:
[0073] The automatic identification system (AIS) data used in the example of the present invention is a new generation marine communication and navigation system operating in the VHF band. AIS messages provide a wealth of vessel information, mainly including dynamic informati...
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