Journal of the Korean earth science society (한국지구과학회지)

The Korean Earth Science Society (한국지구과학회)
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A Study of Three Dimensional DSM Development using Self-Developed Drone

드론을 활용한 3차원 DSM추출을 위한 연구

  • Lee, Byung-Gul (Department of Civil Engineering, Jeju National University)
  • Received : 2017.11.14
  • Accepted : 2018.01.31
  • Published : 2018.02.28
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Abstract

This paper is to study the development of three dimensional Digital Surface Model (DSM) using photogrammetry technique based on self-developed Drone (Unmanned Aerial Vehicle (UAV)). To develop DSM, we selected a study area in Jeju island and took 24 pictures from the drone. The three dimensional coordinates of the photos were made by Differential Global Positioning System (DGPS) surveying with 10 ground control points (GCP). From the calculated three dimensional coordinates, we produced orthographic image and DSM. The accuracy of DSM was calculated using three GCPs. The average accuracy of X and Y was from 8.8 to 14.7 cm, and the accuracy of Z was 0.8 to 12.4 cm. The accuracy was less than the reference accuracy of 1/1,000 digital map provided by National Geographic Information Institute (NGII). From the results, we found that the self-developed drone and the photogrammetry technique are a useful tool to make DSM and digital map of Jeju.

이 논문은 자체 개발된 드론을 이용하여 사진측량기술을 적용하여 3차원 수치지표면모델(DSM)개발 연구를 수행하였다. 이 DSM을 개발하기 위하여 제주도 지역을 선정하여 24장의 사진을 개발된 드론으로 직접 촬영을 수행하였다. 촬영된 사진의 정확한 3차원 좌표를 부여하기 위하여, 10개의 지표기준점(GCP)점을 선정하여 상대측위 지구위치시스템(DGPS)측량을 실시하였다. 사진의 정확도를 평가하기 위하여 3개의 GCP점을 선정하여 사진상의 좌표와 지상점의 좌표의 정확도를 비교하였다. 사진좌표계과 지상좌표계의 정확도를 평가한 결과 수평오차는 8.8-14.7 cm로 나타났으며, 연직오차는 12.4 cm로 나타났다. 이 정확도는 국토지리정보원(NGII)이 인정하는 1/1,000 수치지도의 정확도를 가지는 측량결과이다. 이 연구를 통하여 본 연구에서 개발된 드론과 사진측량기법이 제주지역에서 우리가 원하는 DSM자료를 얻는데 유용한 기술임을 알 수 있었다.

Keywords

References

  1. Everaerts, J., 2008, The use of unmanned aerial vehicles (UAVS) for remote sensing and mapping, ISPRS XXI Congress, Beijing China, 1187-1191.
  2. Han, J.H., Kwon, J.H., Lee, I.P., and Choi, K.A., 2010, Determinate Real-Time position and attitude using GPS/INS/ AT for Real-time aerial monitoring system, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Korean Society of Surveying, 28(5), 531-537.
  3. Kim, D.I., Song, Y.S., Kim, K.H., and Kim, C.W., 2014, A study on the application of UAV for Korean land monitoring, Journal of the Korean Society for Geospatial Information Science, 32(1), 29-38.
  4. GISGeography, 2018,. http://gisgeography.com/dem-dsmdtm-differences/
  5. Lee, I.S., Lee, M.G., Kang, J.H., and Lee, J.W., 2013, Application of ultra-light UAV in cadastre, Journal of the Korean Society for Geospatial Information Science, 1(4), 181-183.
  6. Lee, J.H., Choi, K.A., and Lee, I.P., 2012, Calibration of a UAV based low altitude multi-sensor photogrammetric system, Journal of the Korean Society for Geospatial Information Science, 30(1), 31-38.
  7. Masahiko Nagai, Tianen Chen, Afzal Ahmed, and Ryosuke Shibasaki, 2008, UAV borne mapping by multi sensor integration, ISPRS XXI Congress, Beijing China, 1215-1221.
  8. Na, S.I., Baek, S.C., Hong, S.Y., Lee, K.D., and Jang, G.C., 2015, A study on the application of UAV for the onion and garlic growth monitoring, Korean Journal of Soilscience and Fertilizer, 1(1), 225-226.
  9. Nebiker, S., Annen, A., Scherrer, M., and Oesch, D., 2008, A Light-Weight multispectral sensor for micro UAVOpportunities for very high resolution airborne remote sensing, ISPRS XXI Congress, Beijing China, 1193-1199.
  10. NGII, 2010, Aerial Photogrammetry work regulations, http://www.ngii.go.kr/kor/webhelper/ruleIndex.html
  11. Yeu, B.M., 1986, Surveying Engineering, Bakyoungsa, 819 pp.