摘要
针对机场FOD智能探测的要求,提出一种基于霍夫转换和卷积神经网络的FOD识别方法。该方法在国内某大型4E机场FOD识别中得到验证,能有效自动识别FOD物体,识别精度达到90%以上。
To meet the demands of intelligent detection of airport FOD,a method of FOD recognition based on Hough transform and convolutional neural network is proposed.This method has been verified in a large 4E airport in China.It can automatically recognize FOD objects effectively,and the recognition accuracy is more than 90%.
作者
陈烈
CHEN Lie(Shanghai Jiankun Information Technology Co.,Ltd.,Shanghai 200032,China)
出处
《仪表技术》
2020年第6期13-15,45,共4页
Instrumentation Technology
关键词
FOD设备
图像智能识别
霍夫转换
卷积神经网络
FOD equipment
image intelligent recognition
Hough transform
convolutional neural network(CNN)
