In this paper, an adaptive time-delay neural network (ATDNN) classifier based on high resolution radar down range profiles is proposed for use in aircraft target recognition, and a peak-based feature extraction technique for the range profiles is introduced. The results of experiments show that the average correct recognition rate of scale model aircrafts is 87.6% under the condition of three kinds of aircrafts.


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    Title :

    Aircraft target recognition using adaptive time-delay neural network


    Contributors:
    Xiao Huaitie (author) / Zhuang Zhaowen (author) / Chen Zhenpin (author) / He Songhua (author) / Guo Biao (author)


    Publication date :

    1997-01-01


    Size :

    355743 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Aircraft Target Recognition Using Adaptive Time-Delay Neural Network

    Xiao, H. / Zhuang, Z. / Guo, B. et al. | British Library Conference Proceedings | 1997




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