【作者】 杨桄； 陈克雄； 徐忠林； 陈永甜；

【Author】 YANG Guang,CHEN Ke-xiong,XU Zhong-lin,CHEN Yong-tian(Special Profession Department,Aviation University of Air Force,Changchun 130022,China)

【机构】 空军航空大学特种专业系；

【摘要】 飞机目标的自动识别是军事目标自动判读的重要研究内容之一。分析了BP神经网络模型结构及其在飞机类型识别中的应用方法;提出应用BP神经网络实现航空图像中飞机类型识别的基本方法,并通过MATLAB对BP神经网络方法进行实现。研究结果表明:基于BP神经网络的飞机目标类型识别方法效果较好,具有一定的实用意义。更多还原

【Abstract】 The automatic identification of the airplane is important in automatic interpretation of military objects.The structure of BP neural network model and its application in the identification of airplane types were analyzed.The fundamental identification ways of airplane types were put forward in aerial image interpretation by using BP neural network and the realization of the BP neural network model was achieved in the identification of airplane types using the software of MATLAB.The results show that the identification of airplane types based on BP neural network is more effective and of significance in practice.更多还原