Aerial Target Fused Recognition Based on Fuzzy Bayesian Network Model
Liang Huaqiang · Electronics Optics & Control · 2009
For dealing with aerial target recognition data with uncertainty and fuzzyness,and improving the precision and reliability of multi-sensor fusion for aerial target,a multi-sensor data fusion model was put forward based on fuzzy Bayesian network structure.Fuzzy Bayesian networks can transform a continuous variable into a discrete variable through fuzzification and defuzzification.Fuzzy Bayesian network was an efficient way for combining evidences from different sources and reasoning under uncertainty.The inference rule for aerial target recognition was analyzed,and a Bayesian network topological structure was built up for aerial target recognition.The different data sources have been fused with Bayesian probability reasoning.The simulation examples showed that the method can fuse the different resources and can improve the efficiency of aerial target recognition.