Funder
National Natural Science Foundation of China
Natural Sciences and Engineering Research Council of Canada
Postdoctoral Research Foundation of China
State Key Laboratory of Synthetical Automation for Process Industries
Higher Education Discipline Innovation Project
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software
Reference54 articles.
1. Mysorewala, M.F., Popa, D.O., Lewis, F.L.: Multi-scale adaptive sampling with mobile agents for mapping of forest fires. J. Intell. Robot. Syst. 54(4), 535 (2009)
2. Merino, L., Caballero, F., Martínez-De-Dios, J.R., Maza, I., Ollero, A.: An unmanned aircraft system for automatic forest fire monitoring and measurement. J. Intell. Robot. Syst. 65(1-4), 533–548 (2012)
3. Yuan, C., Zhang, Y.M., Liu, Z.X.: A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques. Can. J. For. Res. 45(7), 783–792 (2015)
4. Hossain, F.M.A., Zhang, Y.M., Tonima, M.A.: Forest fire flame and smoke detection from UAV-captured images using fire-specific color features and multi-color space local binary pattern. J. of Unmanned Vehicle Syst. 8(4), 285–309 (2020)
5. Huang, Z., Hou, L.: Highest alert follows deadly fire. https://www.chinadaily.com.cn/a/201904/03/WS5ca3eeb3a3104842260b40d3.html. Accessed 3 Jan 2020
Cited by
43 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献