Deep learning-based civil ship trajectory behavior analysis optimization method

The invention relates to a civil ship trajectory behavior analysis optimization method based on deep learning, belongs to the field of ship trajectory analysis, and solves the problem that civil ship trajectory behaviors cannot be analyzed only by using AIS data in the prior art. The method comprises the following steps: acquiring AIS data of a to-be-analyzed civil ship, weather information of a place where the to-be-analyzed civil ship is located and image information including a sea area where the to-be-analyzed civil ship is located; and preprocessing the AIS data, the weather information and the image information of the sea area to obtain four groups of vectors, namely an AIS information vector, a weather information vector, a marine traffic busy degree vector and a civil ship draft vector, and inputting the four groups of vectors into the trained civil ship trajectory analysis model to obtain a civil ship trajectory analysis result. Precise analysis of the civil ship trajectory is realized, and collision