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.

Details

Title
AN OPTIMIZED MODEL FOR PREDICTING FOREST FIRES AREA BASED ON BINOCULAR VISION
Author
Li, Xingdong; Gao, Hewei; Han, Chengqi; Wang, Yangwei; Hu, Tongxin; Long, Sun; Guo, Yanling
Pages
16-25
Section
Mathematical Modeling
Publication year
2020
Publication date
Mar 30, 2020
Publisher
The MCFNS Publisher
e-ISSN
19467664
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2398408900
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.