JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Orthophoto and DEM Generation in Small Slope Areas Using Low Specification UAV
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Orthophoto and DEM Generation in Small Slope Areas Using Low Specification UAV
Park, Jin Hwan; Lee, Won Hee;
  PDF(new window)
 Abstract
Even though existing methods for orthophoto production in traditional photogrammetry are effective in large areas, they are inefficient when dealing with change detection of geometric features and image production for short time periods in small areas. In recent years, the UAV (Unmanned Aerial Vehicle), equipped with various sensors, is rapidly developing and has been implemented in various ways throughout the geospatial information field. The data and imagery of specific areas can be quickly acquired by UAVs at low costs and with frequent updates. Furthermore, the redundancy of geospatial information data can be minimized in the UAV-based orthophoto generation. In this paper, the orthophoto and DEM (Digital Elevation Model) are generated using a standard low-end UAV in small sloped areas which have a rather low accuracy compared to flat areas. The RMSE of the check points is σH
 Keywords
UAV;Orthophoto;Small Slope Areas;DEM;SIFT;Network-RTK;
 Language
Korean
 Cited by
1.
고도가 다른 저사양 UAV 영상을 이용한 정사영상 및 DEM 제작,이기림;이원희;

한국측량학회지, 2016. vol.34. 5, pp.535-544 crossref(new window)
2.
UAV로 촬영한 수직 영상과 고경사 영상을 이용한 정사영상 및 3차원 모델링 비교,이기림;이원희;

한국지형공간정보학회지, 2017. vol.25. 4, pp.35-45 crossref(new window)
3.
저가형 UAV 영상의 영상향상기법에 따른 결과 분석,성지훈;이원희;

한국지형공간정보학회지, 2017. vol.25. 3, pp.3-12 crossref(new window)
 References
1.
Chiang, K.W., Tsai, M.L., and Chu, C.H. (2012), The development of and UAV borne direct georeferenced photogrammetric platform for ground control point free applications, Sensors, Vol. 12, No. 7, pp. 9161-9180. crossref(new window)

2.
Cho, Y.S., Lim, H.M., Choi, S.G., and Jumg, S.H. (2014), DEM generation of tidal flat by the area based matching method using digital aerial stereo images, Korean Review of Crisis & Emergency Management, Vol. 10, No. 2, pp. 273-287. (in Korean with English abstract)

3.
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. crossref(new window)

4.
Kim, S.M. (2014), Study of the UAV for application plans and landscape analysis, Journal of the Korean Institute of Traditional Landscape Architecture, Vol. 32, No. 3, pp. 213-220. (in Korean with English abstract) crossref(new window)

5.
Kim, D.I., Sun, S.Y., Kim, G.H., and Kim, C.W. (2014), A study on the application of UAV for Korean land monitoring, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry, Vol. 32, No. 1, pp. 29-38. (in Korean with English abstract) crossref(new window)

6.
Kim, S.G., Sung, Y.D., and Kim, G.O. (2012), A study on methods of utilizing Unmanned Aerial Vehicle(UAV) in the area of spatial information, The Korean Society of Cadastre, Vol. 28, No. 1, pp. 169-178. (in Korean with English abstract)

7.
Lee, J.K. (2011), Acquisition of spatial information using UAV, Journal of the Institute of Construction Technology, Vol. 30, No. 1, pp. 43-48. (in Korean with English abstract)

8.
Lee, Y.C. (2015), Assessing the positioning accuracy of high density point clouds produced from rotary wing quadrocopter unmanned aerial system based imagery, Journal of the Korean Society for Geospatial Information Science, Vol. 23, No. 2, pp. 39-48. (in Korean with English abstract)

9.
Lee, G.S., Kim, S.G., and Choi, Y.W. (2015), A comparative study of image classification method to detect water body based on UAS, Journal of the Korean Association Geographic Information Studies, Vol. 18, No. 3, pp. 113-127. (in Korean with English abstract) crossref(new window)

10.
Lowe, D. (2004), Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, Vol 60, No.2, pp. 91-110. crossref(new window)

11.
Park, J.K. and Park, J.H. (2015), Reservoir failure monitoring and identified by the UAV aerial images, Journal of safety and crisis management, Vol. 11, No. 4, pp. 155-167. (in Korean with English abstract)

12.
Remondino, F., Barazzetti, L., Nex, F., Scaioni, M., and Sarazzi, D. (2011), UAV photogrammetry for mapping and 3D modeling-current status and future perspectives, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38-1, No. C22, pp. 25-31.

13.
Zongjian, L. (2008), UAV for mapping-low altitude photogrammetric survey, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 37, No. B1, pp. 1183-1186.