Research on arts comparing of underwater multi-sensors information fusion of target recognition oriented
Hui Qi · Ship Science and Technology · 2009
It is very difficult to recognizing target underwater,when underwater warfare carrying into execution. So,It is better to keep paths of multi sensors information fusion and multi arts fusion.It should compare with differient arts,and take advantages of various techniques.Then process them synthetically. Among uncertainty reason methods,the Subjective Bayes Method and the Proof Theory Method are compared with in this paper. Respectively,target fusion thoughts are given according to these two kinds of methods.Schemes of information fusion recognization based on statistical theory of Bayes and D-S theory are performed. Furthermore,multi-sensors information fusion based on fuzzy neural network is studied.Two schemes of processing networks,which are compact and incompact are given.Its characteristics are discussed combining with applications.