First introduces the UAV design scheme,image processing and the technical principle of flame segmentation al-gorithm,and then uses BP neural network to identify the characteristics of the flame area change rate and flame sharp an-gle in the image,so as to realize the rapid monitoring of forest fire.The experimental results show that the accuracy of the algorithm studied in this paper is 98.5％,which is higher than 84.5％of the ordinary neural network,and takes only 22 seconds,which is much shorter than 159 seconds of the ordinary neural network,which proves that the BP neural network is a more reliable and efficient fire identification scheme.
关键词
森林防火/无人机/图像处理/BP神经网络
Key words
forest fire prevention/UAV/image processing/BP neural network
维普
万方数据