Tunnel and Underground Space (터널과지하공간)

Korean Society for Rock Mechanics and Rock Engineering (한국암반공학회)
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Topographic Survey at Small-scale Open-pit Mines using a Popular Rotary-wing Unmanned Aerial Vehicle (Drone)

보급형 회전익 무인항공기(드론)를 이용한 소규모 노천광산의 지형측량

  • Received : 2015.10.12
  • Accepted : 2015.10.26
  • Published : 2015.10.31
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Abstract

This study carried out a topographic survey at a small-scale open-pit limestone mine in Korea (the Daesung MDI Seoggyo office) using a popular rotary-wing unmanned aerial vehicle (UAV, Drone, DJI Phantom2 Vision+). 89 sheets of aerial photos could be obtained as a result of performing an automatic flight for 30 minutes under conditions of 100m altitude and 3m/s speed. A total of 34 million cloud points with X, Y, Z-coordinates was extracted from the aerial photos after data processing for correction and matching, then an orthomosaic image and digital surface model with 5m grid spacing could be generated. A comparison of the X, Y, Z-coordinates of 5 ground control points measured by differential global positioning system and those determined by UAV photogrammetry revealed that the root mean squared errors of X, Y, Z-coordinates were around 10cm. Therefore, it is expected that the popular rotary-wing UAV photogrammetry can be effectively utilized in small-scale open-pit mines as a technology that is able to replace or supplement existing topographic surveying equipments.

본 연구에서는 보급형 회전익 무인항공기(드론, DJI 팬텀2 비전 플러스)를 이용하여 국내 소규모 석회석 노천광산 현장(대성MDI(주) 석교사업소)의 지형측량을 수행하였다. 고도 100 m, 속도 3 m/s 조건으로 30분간 자동모드 비행을 수행한 결과 총 89장의 항공사진을 획득할 수 있었다. 현장에서 취득한 항공사진 자료들을 보정하고, 정합한 결과 총 3,400만 개의 3차원 점군 데이터가 추출되었고, 이로부터 5 cm 해상도의 정사영상과 수치표면모델 자료를 생성할 수 있었다. 5개 지상기준점에 대해서 고정밀 위성측정시스템를 이용하여 측정한 위치 좌표와 회전익 무인항공기 사진측량시스템을 이용하여 추출한 위치 좌표를 비교한 결과 평균 제곱근 오차가 X, Y, Z 세 방향 모두 10 cm 내외로 나타났다. 따라서 보급형 회전익 무인항공기 사진측량시스템이 기존의 지형측량 장비들을 대체하거나 보완할 수 있는 기술로서 소규모 노천광산 현장에서 효과적으로 활용될 수 있을 것이라 판단된다.

Keywords

References

  1. Astuti, G., Longo, D., Melita, C. D., Muscato, G. and Orlando A., 2008, HIL tuning of UAV for exploration of risky environments, International Journal of Advanced Robotic Systems, Vol. 5, No. 4, 419-424.
  2. Birk, A., Wiggerich, B., Bulow, H., Pfingsthorn, M. and Schwertfeger, S., 2011, Safety, security, and rescue missions with an unmanned aerial vehicle(UAV), Journal of intelligent and robotic systems, Vol. 64, No. 1, 57-76. https://doi.org/10.1007/s10846-011-9546-8
  3. Cho, S.J., Bang, E.S. and Kang, I.M., 2015, Construction of Digital Terrain Model for Nonmetal Open-pit Mine by Using Unmanned Aerial Photograph, Economic and Environmental Geology, Vol. 48, No. 3, 205-212. https://doi.org/10.9719/EEG.2015.48.3.205
  4. Cryderman, C., Bill Mah, S. and Shuflertoski, A., 2014, Evaluation of UAV Photogrammetric accuracy for mapping and earthworks computations, Geomatica, Vol. 68, No. 4, 309-317. https://doi.org/10.5623/cig2014-405
  5. Jung, S.H., Lim, H.M. and Lee, J.K., 2009, Analysis of the accuracy of the UAV photogrammetric method using digital cameara, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 27, No. 6, 741-747.
  6. Kim, K.H., 2015, Construction of high resolution photorealistic model using UAV photogrammetry, MS Thesis, Chungbuk National University, KOREA.
  7. Lee, I.S., Lee, J.O., Kim, S.J. and Hong, S.H., 2013, Orhtophoto accuracy assessment of ultra-light fixed wing UAV photogrammetry techniques, Journal of the Korean Society of Civil Engineers, Vol. 33, No. 6, 2593-2600. https://doi.org/10.12652/Ksce.2013.33.6.2593
  8. Lucieer, A., Jong, de S. M. and Turner, D., 2014, Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography, Progress in Physical Geography, Vol. 38, No. 1, 97-116. https://doi.org/10.1177/0309133313515293
  9. McLeod, T., Samson, C., Labrie, M., Shehata, K., Mah, J., Lai, P., Wang, L. and Elder, J.H., 2013, Using video acquired from an unmanned aerial vehicle (UAV) to measure fracture orientation in an open-pit mine, GEOMATICA, Vol. 67, No. 3, 173-180. https://doi.org/10.5623/cig2013-036
  10. Niethammer, U., James, M.R., Rothmund, S., Travelletti, J. and Joswig M., 2012, UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results, Engineering Geology, Vol. 128, No. 1, 2-11. https://doi.org/10.1016/j.enggeo.2011.03.012
  11. Park, M.H., Kim, S.G. and Choi, S.Y., 2013, The study about building method of geospatial informations at construction sites by unmanned aircraft system(UAS), Journal of the Korean Cadastre Information, Vol. 15, No. 1, 145-156.
  12. Rhee, S., Kim, T., Kim, J., Kim, M.C. and Chang, H.J., 2015, DSM Generation and Accuracy Analysis from UAV Images on River-side Facilities, Journal of Remote Sensing, Vol. 31, No. 2, 183-191. https://doi.org/10.7780/kjrs.2015.31.2.12
  13. Siebert, S. and Teizer, J., 2014, Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle(UAV) system, Automation in Construction, Vol. 41, 1-14. https://doi.org/10.1016/j.autcon.2014.01.004
  14. Turner, D., Lucieer, A. and Watson, C., 2012, An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle (UAV) imagery based on structure from motion (SfM) point clouds, Remote Sensing, Vol. 4, 1392-1410. https://doi.org/10.3390/rs4051392
  15. Uysal, M., Toprak, A.S. and Polat, N., 2015, DEM generation with UAV Photogrammetry and accuracy analysis in Sahitler hill, Measurement, Vol. 73, 539-543. https://doi.org/10.1016/j.measurement.2015.06.010
  16. Zarco-Tejada, P.J., Diaz-Varela, R., Angileri, V. and Loudjani, P., 2014, Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods, European Journal of Agronomy, Vol. 55, 89-99. https://doi.org/10.1016/j.eja.2014.01.004

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