Three-dimensional aircraft recognition based on neural network and the D-S evidence theory

In the D-S evidence theory, it´s necessary to obtain the basic probability assignment function of all kinds of evidence in order to carry on target recognition. In view of artificial neural network having the ability to express fuzzy information, the paper embarks from the perspective of multi-level data fusion, or combines neural network with D-S evidence theory. A kind of target recognition system model with three-level data fusion was proposed. In the model, the basic probability assignment function is constructed by neural network and the neural network´s outputs as evidence. Evidence combination rules and decision-making rules are used to realize target recognition. The simulation to aircraft target proves that the new designed system model has higher recognition rate and has a certain anti-interference ability.