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http://dx.doi.org/10.7780/kjrs.2020.36.6.1.9

Evaluation of Possibility of Large-scale Digital Map through Precision Sensor Modeling of UAV  

Lim, Pyung-chae (Image Engineering Research Center, 3DLabs Co., Ltd.)
Kim, Han-gyeol (Image Engineering Research Center, 3DLabs Co., Ltd.)
Park, Jimin (Image Engineering Research Center, 3DLabs Co., Ltd.)
Rhee, Sooahm (Image Engineering Research Center, 3DLabs Co., Ltd.)
Publication Information
Korean Journal of Remote Sensing / v.36, no.6_1, 2020 , pp. 1393-1405 More about this Journal
Abstract
UAV (Unmanned Aerial Vehicle) can acquire high-resolution images due to low-altitude flight, and it can be photographed at any time. Therefore, the UAV images can be updated at any time in map production. Due to these advantages, studies on the possibility of producing large-scale digital maps using UAV images are actively being conducted. Precise digital maps can be used as base data for digital twins or smart cites. For producing a precise digital map, precise sensor modeling using GCPs (Ground Control Points) must be preceded. In this study, geometric models of UAV images were established through a precision sensor modeling algorithm developed in house. Then, a digital map by stereo plotting was produced to evaluate the possibility of large-scale digital map. For this study, images and GCPs were acquired for Ganseok-dong, Incheon and Yeouido, Seoul. As a result of precision sensor modeling accuracy analysis, high accuracy was confirmed within 3 pixels of the average error of the checkpoints and 4 pixels of the RMSE was confirmed for the two study regions. As a result of the mapping accuracy analysis, it satisfied the 1:1,000 mapping accuracy announced by the NGII (National Geographic information Institute). Therefore, the precision sensor modeling technology suggested the possibility of producing a 1:1,000 large-scale digital map by UAV images.
Keywords
UAV Photogrammetry; precision sensor modeling; 3D stereo plotting; large-scale digital map; Incremental Bundle Adjustment;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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