关键词: D-S证据推理, 不变矩, 信息融合图像识别算法, 三维飞机图像的识别, 组合规则

Abstract: 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 conlict. The result of three dimension airplane image recognition simulation indicates that the absorptive method has the highest recognition efficiency in three combination rule.

Key words: Dempster-Shafer evidence reasoning, invariant moment, information fusion image recognition algorithm, three dimension airplane image recognition, combination rule