Offshore wind power underwater multi-sensor point cloud data fusion method and system

The invention discloses an offshore wind power underwater multi-sensor point cloud data fusion method and system, and belongs to the technical field of point cloud data processing. The method mainly comprises the steps of data preprocessing, sensor calibration, data registration, dynamic weight distribution, data fusion, data enhancement and complementation, surface reconstruction, model optimization and the like. The method comprises the following steps: firstly, collecting point cloud data of a plurality of sensors, and preprocessing and calibrating; and then realizing accurate data registration by using an ICP (Inductively Coupled Plasma) algorithm and a registration algorithm of feature matching and deep learning enhancement. In addition, weights are dynamically distributed according to the signal-to-noise ratios and the coverage ranges of the sensors, and effective data fusion is achieved. Furthermore, the point cloud data is enhanced and complemented through the generative model, and the data quality is