UAV 영상을 활용한 수변구조물의 DSM 생성 및 정확도 분석 = DSM Generation and Accuracy Analysis from UAV Images on River-side Facilities

다국어 초록 (Multilingual Abstract)

If the damage analysis on river-side facilities such as dam, river bank structures and bridges caused by disasters such as typhoon, flood, etc. becomes available, it can be a great help for disaster recovery and decision-making. In this research, We tried to extract a Digital Surface Model (DSM) and analyze the accuracy from Unmanned Air Vehicle (UAV) images on river-side facilities. We tried to apply stereo image-based matching technique, then extracted match results were united with one mosaic DSM. The accuracy was verified compared with a DSM derived from LIDAR data. Overall accuracy was around 3m of absolute and root mean square error. As an analysis result, we confirmed that exterior orientation parameters exerted an influence to DSM accuracy. For more accurate DSM generation, accurate EO parameters are necessary and effective interpolation and post process technique needs to be developed. And the damage analysis simulation with DSM has to be performed in the future.

참고문헌 (Reference)

1 김민규, "풍수해 모니터링을 위한 UAV 적용성 분석" 한국측량학회 28 (28): 655-662, 2010

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3 이수암, "다중 영상으로부터 DEM 생성을 위한 정합기법의 성능향상 연구" 한국측량학회 29 (29): 101-109, 2011

4 Rhee, S., "Precision DEM extraction using pseudo GCPs with ALOS/PRISM data" 2013

5 Jaehoon J., "Analysis of Dual-Sensor Stereo Geometry and Its Positioning Accuracy" 80 (80): 653-661, 2014