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AN OPTIMIZED MODEL FOR PREDICTING FOREST FIRES AREA BASED ON BINOCULAR VISION
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| 1. | Title | ##plugins.generic.mcfnsReadingTools.titleLabel## | AN OPTIMIZED MODEL FOR PREDICTING FOREST FIRES AREA BASED ON BINOCULAR VISION |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Xingdong Li; 1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China； 2.Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau, Northeast Forestry University, Harbin 150040, China; China |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Hewei Gao; 1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China；; China |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Chengqi Han; 1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China；; China |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Yangwei Wang; 1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China；; China |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Tongxin Hu; 1.College of Forestry, Northeast Forestry University, Harbin 150040, China; 2.Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau, Northeast Forestry University, Harbin 150040, China; China |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Long Sun; 1.College of Forestry, Northeast Forestry University, Harbin 150040, China; 2.Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau, Northeast Forestry University, Harbin 150040, China; China |
| 2. | Creator | ##plugins.generic.mcfnsReadingTools.creators## | Yanling Guo; College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China; China |
| 3. | Subject | ##plugins.generic.mcfnsReadingTools.keywords## | Forest fire area prediction; Wang Zhengfei’s model; Huygens principle; binocular camera; image segmentation; regression analysis |
| 3. | Subject | ##plugins.generic.mcfnsReadingTools.disciplines## | Machine vision；Forest Fire； |
| 4. | Description | ##plugins.generic.mcfnsReadingTools.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. |
| 5. | Publisher | ##plugins.generic.mcfnsReadingTools.publisher## | Contemporary Journal Concept Press |
| 6. | Contributor | ##plugins.generic.mcfnsReadingTools.contributors## | The National Key Research and Development Program of China； the Fundamental Research Funds for the Central Universities |
| 7. | Date | ##plugins.generic.mcfnsReadingTools.date## | 2020-03-30 |
| 8. | Type | ##plugins.generic.mcfnsReadingTools.type## | Text.Serial.Journal; Image processing ；Regression analysis |
| 9. | Format | ##plugins.generic.mcfnsReadingTools.format## | PDF (Englisch); application/pdf |
| 10. | Identifier | ##plugins.generic.mcfnsReadingTools.identifier## | https://mcfns.com/index.php/Journal/de/article/view/12.2 |
| 11. | Source | ##plugins.generic.mcfnsReadingTools.source## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Bd. 12 Nr. 1: MCFNS March 30, 2020; 16-25 (10) |
| 11. | Source | ##plugins.generic.mcfnsReadingTools.onlineIssn## | 1946-7664 |
| 12. | Language | ##plugins.generic.mcfnsReadingTools.language## | en |
| 13. | Relation | ##plugins.generic.mcfnsReadingTools.suppFiles## | |
| 14. | Coverage | ##plugins.generic.mcfnsReadingTools.coverageGeo## | |
| 15. | Rights | ##plugins.generic.mcfnsReadingTools.rights## | Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) 2020 |