A ship behavior recognition method based on deep learning

Abstract

The invention discloses a ship behavior recognition method based on deep learning, which belongs to the field of pattern recognition. The invention can be applied in the fields of intelligent ocean monitoring, ship intelligent supervision and the like. It specifically includes: Step S1: Obtain the original ship trajectory data, and build a ship behavior recognition data set through data preprocessing and trajectory segmentation methods; Step S2: Design a ship behavior recognition network cascaded with a multi-scale convolution module and a long-term short-term memory network, Use the ship behavior recognition network trained by the self-built ship behavior recognition data set to realize the behavior recognition of ship trajectory data. By adopting the technical scheme of the present invention, the ship behavior recognition technology is applied to the field of ship supervision, and the behavior of the ship is automatically analyzed from the massive ship trajectory data, and the ship behavior activities in the offshore ocean can be effectively obtained and supervised to replace low-cost Effective human inspection mode. The overall solution has the characteristics of low device dependence, high recognition accuracy and fast recognition speed.

Description

technical field [0001] The invention relates to the technical field of ship behavior pattern recognition, in particular to a method for ship behavior recognition based on deep learning. Background technique [0002] my country has abundant marine resources and port resources. With the further development and utilization of marine resources, the number of ships of various types is increasing day by day, and maritime traffic activities are becoming more and more frequent. There are various acts of using ships to carry out illegal activities, including smuggling, Illegal immigration, illegal fishing, etc. The automatic identification system (Automatic Identification System, AIS) is a new type of navigation aid system, which can help relevant departments coordinate marine traffic and supervise marine activities. For example, during the fishing ban period of marine pastures, AIS data can be used to analyze whether there is illegal fishing. At present, most ships with a displacem...

AI Technical Summary

Problems solved by technology

[0004] 1. Need to manually design features, it is easy to ignore a lot of effective information;

[0005] 2. The calculation overhead depends on the established model, which is very time-consuming;

[0006] 3. The noise interferes a lot with the distribution of the clustering method, and the threshold setting has a strong subjective factor

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