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공공측량 적용을 위한 비측정용 카메라의 현장자체검정 및 수치 입체 도화

In-situ Self-calibration of Non-metric Camera and Digital Stereo Plotting for Public Survey

  • 투고 : 2017.04.18
  • 심사 : 2017.06.21
  • 발행 : 2017.06.30

초록

최근 건설, 도시계획 등 다양한 분야에서 1/1,000 수치지형도 제작에 대한 수요가 증가하고 있다. 이에 따라 고가의 항공사진측량 장비를 대체하는 저가의 비측정용 카메라 활용이 요청되고 있다. 국내에서도 좁은 대상지역을 비측정용 카메라로 촬영하여 대축척 수치지형도를 제작하기 위한 연구가 지속적으로 수행되고 있다. 그러나 비측정용 카메라 정확도의 한계로 입체사진을 이용한 수치도화는 어려운 상황이다. 본 연구에서는 비측정용 카메라를 공공측량에 활용하기 위해 대축척 수치도화 가능성을 검증하고자 하였다. 이를 위해 비측정용 카메라를 이용하여 수치도화한 성과와 지도제작용 DMC카메라를 이용한 성과의 정확도를 비교분석하였다. 표준부가매개변수 8개를 포함한 현장 자체검정을 수행한 후 1/1,000 축척으로 도화한 결과 RMSE가 평면 ${\pm}0.145m$, 표고 ${\pm}0.153m$로 공공측량 정확도에 적합한 것을 확인하였다.

In recent years, demand for 1 / 1,000 digital map production has increased in various fields such as construction and urban planning. As a result, the use of low-cost non-metric cameras that replace expensive aerial photogrammetry equipment is required. In Korea, researches are being continuously carried out to produce a large scale digital map by photographing a small target area with a non-metric camera. However, due to the limitation of the accuracy of the non-metric camera, it is difficult to do digital mapping with stereoscopic photographs. In this study, we tried to verify the possibility of large-scale digital mapping to utilize non-metric camera for public survey. For this purpose, the accuracy of the digital mapping results of the non-metric camera and the results of the DMC camera were compared and analyzed. After performing in-situ self-calibration including 8 standard additional parameters, we plotted to a scale of 1/1,000 and confirmed that the RMSE is suitable for public survey accuracy of ${\pm}0.145m$ in horizontal and ${\pm}0.153$ m in vertical.

키워드

참고문헌

  1. Hamid, N. A. and Ahmad, A. (2014), Calibration of high resolution digital camera based on different photogrammetric methods, In IOP Conference Series: Earth and Environmental Science, Vol. 18, No. 1, IOP Publishing.
  2. Jeong, S. (2011), Evaluation of long-term stability of interior orientation parameters of a non-metric camera, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 29, No. 3, pp. 283-291. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2011.29.3.283
  3. Lim, S. B., Seo, C. W., and Yun, H. C. (2015), Digital map updates with UAV photogrammetric methods, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 5, pp. 397-405. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2015.33.5.397
  4. Passini, R., Day, D., and Weaver, W. (2015), An accuracy analysis of large resolution images captured with the Nikon D810 digital camera system, In Proceedings of the Imaging & Geospatial Technology Forum.
  5. Perez, M., Aguera, F., and Carvajal, F. (2011), Digital camera calibration using images taken from an unmanned aerial vehicle, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38, No. 1, C22.
  6. Tang, R. (2013), Mathematical Methods for Camera Selfcalibration in Photogrammetry and Computer Vision, Ph.D. dissertation, University of Stuttgart, Stuttgart, Germany.
  7. Vallet, J., Panissod, F., Strecha, C., and Tracol, M. (2011), Photogrammetric performance of an ultra light weight swinglet UAV, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS ICWG I/V, UAV-g conference, Zurich, Switzerland.
  8. Won, J. H. (2013), Self-calibration of Non-metric Digital Camera Using Ground Control Points and Additional Parameters, Ph. D. dissertation, Chungnam National University, Daejeon, Korea. (in Korean with English abstract)