DOI QR코드

DOI QR Code

Accuracy Assessment of Parcel Boundary Surveying with a Fixed-wing UAV versus Rotary-wing UAV

고정익 UAV와 회전익 UAV에 의한 농경지 필지경계 측량의 정확도 평가

  • Received : 2017.11.22
  • Accepted : 2017.12.23
  • Published : 2017.12.31

Abstract

UAVs (Unmanned Aerial Vehicle) are generally classified into fixed-wing and rotary-wing type, and both have very different flight characteristics each other during photographing. These can greatly effect on the quality of images and their productions. In this paper, the change of the camera rotation angle at the moment of photographing was compared and analyzed by calculating orientation angles of each image taken by both types of payload. Study materials were acquired at an altitude of 130m and 260m with fixed-wing, and at an altitude of 130m with rotary-wing UAV over an agricultural land. In addition, an accuracy comparison of boundary surveying methods between UAV photogrammetry and terrestrial cadastral surveying was conducted in two parcels of the study area. The study results are summarized as follows. The differences at rotation angles of images acquired with between two types of UAVs at the same flight height of 130m were significantly very large. On the other hand, the distance errors of parcel boundary surveying were not significant between them, but almost the same, about within ${\pm}0.075m$ in RMSE (Root Mean Square Error). The accuracy of boundary surveying with a fixed-wing UAV at 260m altitude was quite variable, $0.099{\sim}0.136m$ in RMSE. In addition, the error of area extracted from UAV-orthoimages was less than 0.2% compared with the results of the cadastral survey in the same two parcels used for the boundary surveying, In conclusion, UAV photogrammetry can be highly utilized in the field of cadastral surveying.

무인항공기는 크게 고정익과 회전익으로 구분되며, 이들 두 기종은 촬영 시 비행특성이 매우 상이하여 촬영된 영상과 성과물의 품질에 큰 영향을 미친다. 본 연구에서는 농경지를 대상으로 고정익은 고도 130m, 260m, 회전익은 고도 130m에서 각각 촬영된 영상의 외부표정요소를 계산하여 카메라의 회전각 변화를 비교 분석하였다. 아울러 연구대상지역 내의 두 필지를 대상으로 무인항공사진측량과 지적현황측량에 의한 필지경계 측량의 정확도를 비교하였다. 연구결과 130m 동일 고도에서 촬영한 고정익과 회전익 영상의 회전각의 차이는 매우 큰 반면, 필지경계 측량의 연결교차는 RMSE가 ${\pm}0.075m$ 내외로 거의 동일하였다. 하지만 고정익으로 260m고도에서 촬영한 영상의 경우 연결교차의 RMSE는 ${\pm}0.099{\sim}0.136m$로 변동 폭이 다소 커지는 현상을 보여주었다. 또한 동일 필지를 대상으로 무인항공정사영상에 의한 면적은 지적현황측량의 결과와 비교하여 오차가 0.2% 미만으로 도출되어 무인항공사진측량의 지적측량 관련 분야에서의 높은 활용 가능성을 보여주고 있다.

Keywords

References

  1. Agisoft (2014), Photoscan User Manual: Professional Edition, Ver 1.1.
  2. Cunningham, K., Walker, G., Strahlke, E., and Wilson, R. (2011), Cadastral audit and assessments using unmanned aerial vehicle, IAPRS, 14-16 September, Zurich, Switzerland, Vol. XXXVIII-1/C22, pp. 213-216.
  3. Eisenbeiss, H. (2007), UAV-Photogrammetry, Ph.D. dissertation, ETH Zurich, Switzerland, 203p.
  4. KCSC (2014a), A Study on the Improvement Plan for Business Process of Cadastral Surveying, Korea Cadastral Survey Corporation, pp. 70-80. (in Korean)
  5. KCSC (2014b), A Study on the Construction of Virtual Cadastral Contents and Application for the Cadastral Renovation based on High Resolution Image, Korea Cadastral Survey Corporation, pp. 27-73. (in Korean)
  6. Kim, S. (2014), A Study on Construction and Application of Spatial Information Utilizing Unmanned Aerial Vehicle System, Ph.D. dissertation, Mokpo National University, Mokpo, Korea. 161p. (in Korean with English abstract)
  7. Lee, J. and Sung, S. (2016a), Evaluating spatial resolution for quality assurance of UAV images, Journal of Korea Spatial Information Society, Vol. 24, Issue 2, pp. 141-154.
  8. Lee, J. and Sung, S. (2016b), Accuracy analysis of boundary demarcation in dwelling site according to different placement of boundary point using UAV photogrammetry, Journal of the Korean Society of Cadastre, Vol. 32, No. 3, pp. 123-134. (in Korean with English abstract)
  9. Lee, S. and Choi, Y. (2016), Comparison of topographic surveying results using a fixed-wing and a popular rotary-wing unmanned aerial vehicle (drone), Tunnel & Underground Space, Vol. 26, No. 1, pp. 24-31. (in Korean with English abstract) https://doi.org/10.7474/TUS.2016.26.1.024
  10. Lim, S., Seo, C., and Yun, H. (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
  11. Manyoky, M., Theiler, P., Steudler, D., and Eisenbeiss, H. (2011), Unmanned aerial vehicle in cadastral application, IAPRS, Vol. XXXVIII-1/C22, pp. 57-62.
  12. MLTM (2011), Application of Cadastral Surveying Using Aerial Photos: In Foundation Construction Study for Cadastre Renovation Project, Ministry of Land, Transport and Marine Affairs, pp. 93-94. (in Korean)
  13. Rijsdijk, M., van Hinsbergh, W.H.M., Witteween, W., ten Burren, G.H.M., Schakelaar, G.A., Poppinga, G., van Persie, M., and Radiges, R. (2013), UAS the process of juridical verification of cadastral border, IAPRS, 14-16 September, Zurich, Switzerland, Vol. XL-1/W2, pp. 325-331.
  14. Sung, S. (2015), Quality Verification and Utilization of Ultra-Light UAV Imagery in Parcel Boundary Delineation, Master's thesis, Dong-A University, Busan, Korea. 66p. (in Korean with English abstract)
  15. Sung, S. and Lee, J. (2016), Accuracy of parcel boundary demarcation in agricultural area using UAV-photogrammetry, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 34, No. 1, pp. 53-62. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2016.34.1.53
  16. Volkmann, W. and Barnes G. (2014), Virtual surveying: mapping and modelling cadastral boundaries using UAS, FIG, 16-21 June, Kuala Lumpur, Malaysia, Proceedings TS09A 7300, pp. 1-13.

Cited by

  1. 효율적인 농업면적 조사를 위한 무인항공기와 GIS의 활용 vol.10, pp.12, 2020, https://doi.org/10.22156/cs4smb.2020.10.12.201