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http://dx.doi.org/10.7780/kjrs.2020.36.5.4.7

Fast Geocoding of UAV Images for Disaster Site Monitoring  

Nho, Hyunju (National Disaster Management Research Institute, MOIS)
Shin, Dong Yoon (National Disaster Management Research Institute, MOIS)
Sohn, Hong-Gyoo (Civil and Environmental Engineering, Yonsei University)
Kim, Seongsam (National Disaster Management Research Institute, MOIS)
Publication Information
Korean Journal of Remote Sensing / v.36, no.5_4, 2020 , pp. 1221-1229 More about this Journal
Abstract
In urgent situations such as disasters and accidents, rapid data acquisition and processing is required. Therefore, in this study, a rapid geocoding method according to EOP (Exterior Orientation Parameter) correction was proposed through pattern analysis of the initial UAV image information. As a result, in the research area with a total flight length of 1.3 km and a width of 0.102 ㎢, the generation time of geocoding images took about 5 to 10 seconds per image, showing a position error of about 8.51 m. It is believed that the use of the rapid geocoding method proposed in this study will help provide basic data for on-site monitoring and decision-making in emergency situations such as disasters and accidents.
Keywords
UAVs; Drone Mapping; Image geocoding; Disaster management;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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