AN OPTIMIZED MODEL FOR PREDICTING FOREST FIRES AREA BASED ON BINOCULAR VISION

Xingdong Li, Hewei Gao, Chengqi Han, Yangwei Wang, Tongxin Hu, Long Sun, Yanling Guo

Abstract


 Forecasting of forest fire area is of great significance to effectively control the spread of forest fire. In this paper, the forest fire spreading velocity model and the forest fire spreading simulation technology based on huygens principle are used to estimate the forest fire area. Firstly, binocular camera is used to collect the firing state data of wild forest fire, and segment the firing image, extract the firing line,
locate the firing line and calculate the three-dimensional coordinates of the firing line pixels according to perspective projection model;. Secondly, the forest fire spreading velocity model based on Wang Zhengfei’s model is redesigned. The model parameters of forest fire area were optimized by gradient method. The prediction accuracy is much higher than that of the model before optimization.


Keywords


Forest fire area prediction; Wang Zhengfei’s model; Huygens principle; Binocular camera; Image segmentation; Regression analysis

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