Forest Fire Monitoring System Based on UAV team, Remote Sensing, and Image Processing

被引：0
|
作者：
Sherstjuk, Vladimir [1 ]
Zharikova, Maryna [1 ]
Sokol, Igor [2 ]
机构：
[1] Kherson Natl Tech Univ, Kherson, Ukraine
[2] Maritime Inst Postgrad Educ, Kherson, Ukraine
来源：
2018 IEEE SECOND INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP) | 2018年
关键词：
unmanned air vehicles; forest fire monitoring; remote sensing; image processing; fire detection; MANAGEMENT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work presents the fire monitoring and detecting system for tactical forest fire-fighting operations based on a team of unmanned aerial vehicles, remote sensing, and image processing. The idea of such a system and its general parameters and possibilities are described. Functions and missions of the system, as well as its architecture, are considered. The image processing and remote sensing algorithms are presented, a way for data integration into a real-time DSS is proposed. The results of experimental research of the prototype system are presented. The combination of multi-UAV-based automatic monitoring, remote sensing and image processing techniques provides required credibility and efficiency of the fire detection.
引用
收藏
页码：590 / 594
页数：5
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