Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 155-159, 2016
https://doi.org/10.5194/isprs-archives-XLI-B6-155-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
17 Jun 2016
UAV AERIAL SURVEY: ACCURACY ESTIMATION FOR AUTOMATICALLY GENERATED DENSE DIGITAL SURFACE MODEL AND ORTHOTHOTO PLAN
M. A. Altyntsev1, S. A. Arbuzov2, R. A. Popov3, G. V. Tsoi4, and M. O. Gromov5 1Dep. of Engineering Geodesy and Mine Surveying, Siberian State University of Geosystems and Technologies, Novosibirsk, Russian Federation
2Dep. of Physical Geodesy and Remote Sensing, Siberian State University of Geosystems and Technologies, Novosibirsk, Russian Federation
3Siberian State University of Geosystems and Technologies, Advanced Science Research Center, Novosibirsk, Russian Federation
4LLC “Unmanned Technologies” company, Novosibirsk, Russian Federation
5Innovative Technologies of CJSC “NPF “GEO”, Omsk, Russian Federation
Keywords: Aerial photography, Mobile laser scanning, Unmanned aerial vehicles (UAVs), Accuracy estimation, Digital surface model Abstract. A dense digital surface model is one of the products generated by using UAV aerial survey data. Today more and more specialized software are supplied with modules for generating such kind of models. The procedure for dense digital model generation can be completely or partly automated. Due to the lack of reliable criterion of accuracy estimation it is rather complicated to judge the generation validity of such models. One of such criterion can be mobile laser scanning data as a source for the detailed accuracy estimation of the dense digital surface model generation. These data may be also used to estimate the accuracy of digital orthophoto plans created by using UAV aerial survey data. The results of accuracy estimation for both kinds of products are presented in the paper.
Conference paper (PDF, 781 KB)


Citation: Altyntsev, M. A., Arbuzov, S. A., Popov, R. A., Tsoi, G. V., and Gromov, M. O.: UAV AERIAL SURVEY: ACCURACY ESTIMATION FOR AUTOMATICALLY GENERATED DENSE DIGITAL SURFACE MODEL AND ORTHOTHOTO PLAN, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 155-159, https://doi.org/10.5194/isprs-archives-XLI-B6-155-2016, 2016.

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