%0 Journal Article
%T MULTI SENSOR DATA FUSION METHOD TO RECOGNIZE SPATIAL POINT TARGETS BASED ON THE COMBINATION OF SUBJECTIVE BAYESIAN AND NEURAL NETWORK<br>主观Bayes方法与神经网络相结合的多传感器数据融合空间点目标识别方法
%A The project supported by the National Natural Science Foundation of China
%A the National Defence Preliminary Research Foundation
%A LI Hong LIU Jiang Tao AN Wei XU Hui SUN Zhong Kang
%A <br>李宏
%A 刘江涛
%A 安玮
%A 徐晖
%A 孙仲康
%J 红外与毫米波学报
%D 1997
%I Science Press
%X According to the uncertainty existing in the process of acquiring information of spatial ballistic target and its accompanying decoy, subjective Bayesian method was used to recognize these spatial targets. In order to satisfy the premise of necessary knowledge and experience for applying subjective Bayesian method, neural network was used to replace the experts of relevant domains. The method to combine neural network and subjective Bayesian was introduced, and a multi sensor data fusion model to recognize spatial complex ballistic taget and its accompanying decoy was given.The results of emulation show that the recognition rate is improved much.
%K subjective Bayesian
%K neural network
%K data fusion
%K target recognition<br>主观Bayes方法，神经网络，数据融合，目标识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=0B5BBBECC02FE92B72B2E6C96BAE8CAF&yid=5370399DC954B911&vid=7801E6FC5AE9020C&iid=B31275AF3241DB2D&sid=A6683C8C0EB9BCA7&eid=B1989ED92BA7E896&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=3&reference_num=0