Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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A Study on the Optimal Shooting Conditions of UAV for 3D Production and Orthophoto Generation

3D 제작과 정사영상 생성을 위한 UAV 최적 촬영 조건 연구

  • Received : 2020.11.22
  • Accepted : 2020.12.08
  • Published : 2020.12.31
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Abstract

Recently studies on how to use the UAV (Unmanned Aerial Vehicle) are actively being conducted, and the National Geographic Information Institute published the 『Work Guidelines for Public Surveying of Unmanned Aerial Vehicles』. However, the guidelines do not provide the optimum shooting conditions required for each application. In this study, we tried to find the suitable shooting conditions for the production of 3D (Three-dimensional) spatial information and orthophoto. To this end, 45 experiments were conducted by various altitudes, overlaps, and camera angles within an above ground level of 150m. For evaluating the 3D modeling by shooting conditions, point densities of 9 verification areas were analyzed, and to evaluate the orthophotos, 1/1,000 digital maps were compared. Considering the quality of the output and the processing time for precise 3D construction, an altitude of 50m, an overlap of 70~80%, and a camera angle of 80~90° are suitable as shooting conditions, and an altitude of 100m and camera angle of 80~90° are suitable for orthophoto generation.

최근 무인비행장치의 활용방안에 대한 연구들이 활발히 진행되고 있다. 이를 지원하기 위해서 국토지리정보원은 『무인비행장치 이용 공공측량 작업지침』을 제정하였다. 하지만 작업지침에는 각 활용 분야에 필요한 최적의 촬영 조건은 제시되어 있지는 않다. 본 연구에서는 측량분야에서 많이 활용되는 3D 공간정보, 정사영상 제작에 적합한 촬영 조건을 알아보고자 하였다. 이를 위해 특별승인을 받지 않아도 비행할 수 있는 고도 150m 이내에서 다양한 고도, 중복도, 촬영각도에 따라 45번의 실험을 진행하였다. 3D 모델링의 촬영조건별 품질을 파악하기 위해 총 9곳의 검증영역의 점밀도를 분석하였으며, 정사영상과 1/1,000 수치지도를 비교하였다. 결과물의 품질과 작업시간을 고려할 때, 정밀 3D구축을 위해서는 촬영고도 50m 중복도 70~80% 촬영각도 80~90°의 촬영조건이 적합하고, 정사영상 제작에는 촬영고도 100m 촬영각도 80~90°의 촬영조건이 적합함을 알 수 있었다.

Keywords

References

  1. Harwin, S., and Lucieer, A. (2012), Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from unmanned aerial vehicle (UAV) imagery, Remote Sensing, Vol. 4, No. 6, pp. 1573-1599. https://doi.org/10.3390/rs4061573
  2. Kim, Yong Don, Park, Byung Wook, and Lee, Hyo Seong (2018), Accuracy analysis according to GCP layout type and flying height in orthoimage generation using low-cost UAV. Journal of Korean Society for Geospatial Information Science, Vol. 26, No. 3, pp. 31-39. (in Korean with English abstract) https://doi.org/10.7319/kogsis.2018.26.3.031
  3. Kung, O., Strecha, C., Beyeler, A., Zufferey, J. C., Floreano, D., Fua, P., and Gervaix, F. (2011), The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery, In Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 14-16 September 2011.
  4. Lee, Byoungkil and Park, Hong Gi (2018), Review of high definition road map utilization for cadastral resurvey project, Journal of the Korean Cadastre Information Association, 20(1), 97-107. (in Korean with English abstract) https://doi.org/10.46416/JKCIA.2018.04.20.1.97
  5. Lee, K.R. and Lee, H.W. (2017), Comparison of orthophoto and 3D modeling using vertical and high oblique images taken by UAV, Journal of Korean Society for Geospatial Information System, Vol. 25, No. 4, pp. 35-45. (in Korean with English abstract)
  6. Lee, Seungjoo, Lim, Hyuntaek, Lim, Moojae, Lee, Eungbeom, Lee, Kang-Il, and Kim, Yongseong (2020a), Numerical analysis of debris flow using drone images and NFLOW, Journal of Korean Geosynthetics Society, Vol. 19, No. 3, pp. 1-8. (in Korean with English abstract) https://doi.org/10.12814/JKGSS.2020.19.3.001
  7. Lee, Seung-weon, Kim, Min-Seok, Seo, Dong-Min, Baek, Seung-Chan, and Hong, Won-Hwa (2020b), A study on the building height estimation and accuracy using unmanned aerial Vehicles. Journal of the Architectural Institute of Korea Planning & Design, Vol. 36, No. 2, pp. 79-86. (in Korean with English abstract)
  8. Lee, Young Seung, Lee, Dong Gook, Yu, Young Geol, and Lee, Hyun Jik (2016), Application of drone photogrammetry for current state analysis of damage in forest damage areas, Journal of Korean Society for Geospatial Information Science, Vol. 24, No. 3, pp. 49-58. (in Korean with English abstract) https://doi.org/10.7319/kogsis.2016.24.3.049
  9. Neitzel, F. and Klonowski, J. (2011), Mobile 3D mapping with a low-cost UAV system, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 14-16 September, Zurich, Switzerland, Conference on Unmanned Aerial Vehicle Geomatics, Vol. XXXVIII-1/C22 UAV-g, 6 pages.
  10. Pix4D, http://pix4d.com/ (last date accessed: 21 Nov. 2020).
  11. Rosnell, T., Honkavaara, E., and Nurminen, K. (2011). On geometric processing of multi-temporal image data collected by light UAV systems. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38, pp. 63-68.
  12. Vallet, J., Panissod, F., Strecha, C., and Tracol, M. (2011), Photogrammetric performance of an ultra light weight swinglet UAV, In Proceedings of the International Conference on Unmanned Aerial Vehicle in Geomatics (UAV-g), Zurich, Switzerland, 14-16 September 2011.