The low-small-slow target detection using multi-source decision fusion

The two-step method using Hypothesis-Generation two steps to early detect the low-small-slow target, is based on the theory of multi-source detection fusion. The Hypothesis-Generation of the target information is built by the data set of multi-sensor. Hypothesis-Union distinguishing of the target information is based on the method of multi-source decision fusion, is realized by distributed decision feature fusion based on Bias minimum risk rule. The experimental results verify the feasibility and effectiveness of the method.