Aircraft Target Recognition Based on Recurrent Neural Network
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Abstract:
In this paper, an aircraft target automatic classifier based on real time recurrent neural network algorithm is proposed under the wide band fully polarized high range resolution radar. This new neural network classifier is applied to the classification of five types of aircraft targets. The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition.
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Xiao Huaitie, Zhuang Zhaowen, Guo Guirong. Aircraft Target Recognition Based on Recurrent Neural Network[J]. Journal of National University of Defense Technology,1997,19(4):48-53.