The identification research of airplane target based on BP neural network
Guang Zhong Yang, Bai Zhang, Xiaojuan Wang, Jianfeng Zhang, Zhenyu Pang, Hang Li, Yang Xiang-hua · 2010
The airplane goal's automatic identification is a research hot spot which realizing the target automatic recognition of the remote sensing image. The BP neural network is a multi-layered network which using the non-linear differentiable function to carry on the weight training. It has contained the most essence part in the neural network theory; the BP neural network has obtained the widespread application in the domains of function approach, pattern Identification, information class and data compression because of its simple structure. Identified and researched the type of airplane based on the artificial neural networks method using the MATLAB software. The result indicated: the accuracy of airplane target recognition may achieve 72.1% based on the BP neural network and it can meet the needs.