Intelligent target recognition method of sequential images based on DSmT
基于DSmT的序列图像智能融合目标识别方法

A sequential image recognition algorithm based on BP Neural Network(BPNN) and Dezert-Smarandache Theory(DSmT) was presented.Firstly,modified Hu invariant moments was used as the feature of the image,and BPNN was applied to identify the target.Secondly,basic belief assignment function was constructed through the output of the BPNN,and afterwards DSmT fusion rule was used to finish the decision data fusion.Lastly,recognition of 3D airplane images was completed.The simulation results show that this fusion method is effective.