GNN-based ship classification and identification method and device

Abstract

The invention provides a GNN-based ship classification and identification method and device, and the method comprises the steps: extracting the features of ship AIS data, and constructing a total sample set which is a three-dimensional matrix; converting the total sample set into graph structure data, and dividing the total sample set into a training set and a test set; and training a GNN network model through the training set, inputting features of ship AIS data of all samples to be tested in the test set into the trained GNN network model to test effectiveness of the GNN network, and classifying the ships to be classified through the GNN network passing the test, wherein the GNN network model is a GNN neural network model with two layers of graph convolution layers. According to the scheme of the invention, spatial features can be effectively extracted for machine learning by using the ship trajectory, and the classification and recognition accuracy of the ship trajectory can be improved.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to a GNN-based ship classification recognition method and device. Background technique [0002] Ship classification is widely used in both military and civilian fields, such as detecting illegal ships, guarding against maritime terrorism, and combating smuggling. At present, the domestic and foreign methods of researching ship type classification mainly rely on traditional radar identification and optical identification, but both have their limitations. Influenced by factors, especially under weather conditions such as high humidity and low clouds at sea, the restrictions are great. Although radar identification is less affected by the environment, there is a problem of "visible but not discernible". In complex electromagnetic environments, co-frequency interference clutter is prone to occur. The scheme of ship classification and identification based on AIS is less affected by t...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the present invention proposes a GNN-based ship classification and recognition method and device. The method and device are used to solve the technical problem that the relationship between data is not used in the prior art and the classification results are not ideal.

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