Information Fusion with Bayesian Networks for Target Recognition
Weidong Hu · Acta Simulata Systematica Sinica · 2005
Information fusion with Bayesian Networks for target recognition has become a focus in recent years. A probabilistic model of information fusion for target recognition under the background of information fusion in Electronic Warfare was introduced, in which the information from radar reconnaissance, communication reconnaissance and infrared photographic reconnaissance were integrated under the principle of homogeneity data first, and the basic structure of Naive Bayes classifier and Augmented Naive Bayes classifier. The experiment result shows that the model could make the recognition more accurate, more reliable and more robust.