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http://dx.doi.org/10.17661/jkiiect.2017.10.6.626

Design and Implementation of Local Forest Fire Monitoring and Situational Response Platform Using UAV with Multi-Sensor  

Shin, Won-Jae (Electronics and Telecommunications Research Institute)
Lee, Yong-Tae (Electronics and Telecommunications Research Institute)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.10, no.6, 2017 , pp. 626-632 More about this Journal
Abstract
Since natural disaster occurs increasingly and becomes complicated, it causes deaths, disappearances, and damage to property. As a result, there is a growing interest in the development of ICT-based natural disaster response technology which can minimize economic and social losses. In this letter, we introduce the main functions of the forest fire management platform by using images from an UAV. In addition, we propose a disaster image analysis technology based on the deep learning which is a key element technology for disaster detection. The proposed deep learning based disaster image analysis learns repeatedly generated images from the past, then it is possible to detect the disaster situation of forest-fire similar to a person. The validity of the proposed method is verified through the experimental performance of the proposed disaster image analysis technique.
Keywords
Disaster-Monitoring; Early-Warning-System; Forest-Fire-Detection; Multi-sensor; Unmanned-Aerial-Vehicle;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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