TARGET RECOGNITION USING BAYESIAN DATA FUSION METHOD
Multisensor information plays an important pole in the target recognition and other application fields. Fusion performance is tightly depended on the fusion level selectes and the approach used. Feature level fusion is a potential and difficult fusion level. Bayesian fusion method is an important theory in feature level. A new method is presented to fuse infrared images and recognize object in the paper. Firstly,Bayesian principles, fusion mode and recognition decision function are described. Then, aiming at the features of mid-wave infrared image and long-wave infrared image, we use Bayesian probability to fuse them. Last, recognize target and background obtained with training and test pattern vectors. The experiment results show stability and feasibility of the fusion recognition using Bayesian decision theory in infrared image.
Bayesian decision data fusion target recognition infrared images
YU-QIU SUN JIN-WEN TIAN JIAN LIU
School of Information and Mathematics, Yangtze University, Jingzhou 434023, China;State Education Co State Education Commission Key Laboratory for Image Processing and Intelligent Control, Institute fo State Education Commission Key Laboratory for Image Processing and Intelligent Control, Dept.of Elec
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3288-3292
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）