Multi-sensor data fusion method to discern point targets

Two different vehicles which have the same shapes and sizes fly together in upper space at the same velocity. The vehicles are so far away from the sensors that the acquired images are point targets. No shape information can be gotten. These two vehicles fly together and no motion characteristics may be used. Therefore the infrared (IR) radiation characteristics of them are important for discerning these two vehicles. In this paper, three ground-based IR sensors are used to get the TR radiation spectrum of the point targets, and twelve IR characteristics are selected for recognizing them. First, a BP network is used to recognize the point targets at each base. Then a Subjective Bayesian Method is adopted to fuse the recognized results given by BP networks on three bases at the same time. And the result given by Bayesian is fused by D-S Evidence Theory with the result at next time till the belief function is more than threshold. The emulation shows that the last outputs is satisfactory.