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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2004, Vol. 25 ›› Issue (2): 176-179.

• 论文 • Previous Articles     Next Articles

Information Fusion Image Recognition Algorithm and Applications in Three Dimension Airplane Image Recognition

CHENG Yong-mei, PAN Quan, ZHANG Hong-cai, Wang Gang   

  1. Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2003-08-27 Revised:2004-01-15 Online:2004-04-25 Published:2004-04-25

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