A kind of trading off algorithm of object classification based on intelligent data fusion

A kind of trading off algorithm of target classification combined with double mode intelligent fusion is presented, Applying neuron-fuzzy technique to the synthesis of the complementary information between radar and infrared, through combining neuron-fuzzy technique with D-S evidence fusion theory, the ability of target classification could be improved. At the same time, according to the effective detection range of sensors, reasonably select the target features that can ensure the accurate target classification so that the computation load of the algorithm can be largely decreased compared to the infrared single model fusion. Simulation results illustrate that the trading off algorithm is effective.