부산대학교 도서관

The fusion of Automatic Identification System(AIS) and radar data can effectively improve the efficiency of sea surface target detection, and data preprocessing plays a vital role in information fusion. In view of the low fusion problem caused by radar data migration in the process of AIS and radar information fusion, a data preprocessing method based on outlier elimination method, linear interpolation method and Gauss-Kruger projection was proposed, and a mathematical model of multi-factor Euclilian distance association fusion algorithm based on data correction and coarse correlation processing was constructed. The AIS and radar base station data in Zhoushan, Zhejiang province were selected to carry out the sea experiment. Experiments show that the fusion rate of this method is increased by 14.1% compared with the traditional algorithm, and the accuracy of AIS and radar information fusion algorithm is effectively improved.