BAYES THEORY-BASED MULTI-SENSOR FEATURE-LEVEL INFORMATION FUSION OF GRAIN MEASUREMENT AND CONTROL SYSTEM
Feng Wang · Journal of Henan University of Technology · 2009
The Feature-level information fusion of grain measurement and control system was investigated.A Bayes theory-based data fusion method was used to carry out feature-level fusion of data provided by multiple heterogeneous sensors to improve the fusion accuracy and the stability of low-level data.A Bayes theory-based grain feature-level fusion model and algorithm were pointed out.The validity of the model is verified by experiment to effectively solve the problem of the uncertainty and inaccuracy of the low feature-level information fusion of the grain measurement and control system.