Forest Fire Prevention UAV System Based on Image Processing and BP Neural Network
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.
forest fire preventionUAVimage processingBP neural network
万方数据
维普
