Joint classification and recognition method of maritime targets based on integrated learning and deep learning
In order to improve the classification accuracy of marine targets in complex and multivariate sea state environment,integrated learning and deep learning are combined to select random forest model,deep forest model,CNN model and BiGRU model,and propose an evaluation factor synthesis model for marine target classifi-cation and recognition.Example verifications show that this evaluation factor synthesis model can improve the recognition accuracy of maritime targets,and can have a clear cognition of the overall dynamic situation at sea,so as to help the timeliness and accuracy of maritime decision-making.
万方数据
维普
