基于细胞神经网络（CNN）的飞行目标识别研究
기우세포신경망락（CNN）적비행목표식별연구
On Recognition of Flying Objects Based on CNN
  • 万方数据
    绵阳师范学院学报 면양사범학원학보
    JOURNAL OF MIANYANG NORMAL UNIVERSITY
    2011年 11期 111-115 ,共5页

    肖雪芳%雷丽平%雷国伟

    초설방%뢰려평%뢰국위

    细胞神经网络%飞行目标%模板 細胞神經網絡%飛行目標%模闆
    세포신경망락%비행목표%모판
    Cellular Neural Networks%Flying Objects%Template
    基于细胞神经网络，采用改进型帧间差法检测飞行物体，针对飞行目标提取其相应的特征，建立特征参数库，为飞行物的实时跟踪与自动识别提供依据。
    기우세포신경망락，채용개진형정간차법검측비행물체，침대비행목표제취기상응적특정，건립특정삼수고，위비행물적실시근종여자동식별제공의거。
    Based on Cellular Neural Networks （CNN）, flying objects were detected via improved difference between frames; the data base of feature parameters of each kind was extracted and set up, therefore, detection and recognition of flying objects can be made at real time.
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