Information fusion image recognition algorithm and applications in three dimension airplane image recognition

By combining Dempster-Shafer evidence reasoning with invariant moment theory, an information fusion image recognition algorithm is presented, and the algorithm is applied to three dimension airplane image recognition. A basic belief assignment function is constructed, and a classifying rule is built. In order to solve the problem in which Dempster combination rule is used only in case of high belief degree and low conflict, the weighed distribution conflict and the absorptive method are used for solving evidence conflict. The result of three, dimension airplane image recognition simulation indicates that the absorptive method has the highest recognition efficiency in three combination rule.