有雾天气下输电线路山火烟雾检测方法研究

输电线路多处于环境复杂的山林中,早期山火发生时经常以烟雾的形式呈现,而在有雾状况下的山火烟雾检测方法的研究却很少见.针对有雾天气状况时的山火检测,提出一种去雾图像增强方法,首先对图像局部均衡化处理,再对全局利用改进的单尺度Retinex方法做增强处理,并使用基于卷积神经网络的山火烟雾检测网络来检测早期山火发生时产生的烟...

Study on detection method of mountain fire smoke in transmission lines under fog weather

Most of the transmission lines are in the mountain forests with complex environment,and early mountain fires often appear in the form of smoke.But the study of smoke detection methods for mountain fires in foggy conditions is rare.Aiming at the detection of wildfires in foggy weather conditions,this paper proposes a de-fogging image enhancement method.First,perform the localized equalization of the image;then conduct enhanced process by the global single-scale Retinex method,and detect smoke generated during early wildfires using CNNbased wildfires smoke detection network.Experimental analysis proves that the local and global image enhancement methods can significantly improve the accuracy of wildfire smoke detection,and the accuracy of smoke detection through convolutional neural network reaches 97.2%.