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http://dx.doi.org/10.7780/kjrs.2018.34.2.2.8

Development of Image-map Generation and Visualization System Based on UAV for Real-time Disaster Monitoring  

Cheon, Jangwoo (Department of Geoinformatics, University of Seoul)
Choi, Kyoungah (Department of Geoinformatics, University of Seoul)
Lee, Impyeong (Department of Geoinformatics, University of Seoul)
Publication Information
Korean Journal of Remote Sensing / v.34, no.2_2, 2018 , pp. 407-418 More about this Journal
Abstract
The frequency and risk of disasters are increasing due to environmental and social factors. In order to respond effectively to disasters that occur unexpectedly, it is very important to quickly obtain up-to-date information about target area. It is possible to intuitively judge the situation about the area through the image-map generated at high speed, so that it can cope with disaster quickly and effectively. In this study, we propose an image-map generation and visualization system from UAV images for real-time disaster monitoring. The proposed system consists of aerial segment and ground segment. In the aerial segment, the UAV system acquires the sensory data from digital camera and GPS/IMU sensor. Communication module transmits it to the ground server in real time. In the ground segment, the transmitted sensor data are processed to generate image-maps and the image-maps are visualized on the geo-portal. We conducted experiment to check the accuracy of the image-map using the system. Check points were obtained through ground survey in the data acquisition area. When calculating the difference between adjacent image maps, the relative accuracy was 1.58 m. We confirmed the absolute accuracy of the image map for the position measured from the individual image map. It is confirmed that the map is matched to the existing map with an absolute accuracy of 0.75 m. We confirmed the processing time of each step until the visualization of the image-map. When the image-map was generated with GSD 10 cm, it took 1.67 seconds to visualize. It is expected that the proposed system can be applied to real - time monitoring for disaster response.
Keywords
UAV; Real-time; Monitoring; Disaster; Image-map; Direct Georeferencing; Geometric Correction; Visualization; Geo-portal;
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