Fog Visibility Based on Neural Network Algorithm Research
Yi-De He, Hongyu He, Yuanyuan Guo, Jia-Teng Shen · 2014
In this paper, by confirming the elements of meteorological factors of fog formation, we can find the relationship between fog visibility and the four factors, including:(1) temperature; (2)relative humidity; (3) air pressure; and, (4) wind speed. With different foggy weather conditions, the images of object rendering have diverse characteristics. The visibility prediction value can be obtained from the following steps that Seven factors extracted:(1) image saturation; (2) the minimum gray value; (3) the contrast method of image calculation by using MATLAB as the input layer of the artificial neural network algorithm; (4) visibility as the output layer; (5) training; and, and (6) simulation study. Through testing, compared with predicted visibility and actual visibility, the discrepancy is only 7.56%. This method improves visibility prediction accuracy, which is of great significance to study the expressway management in foggy weather.