The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1347–1352, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1347-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1347–1352, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1347-2020

  22 Aug 2020

22 Aug 2020

DEM ACCURACY RESEARCH BASED ON UNMANNED AERIAL SURVEY DATA

V. M. Kurkov and A. S. Kiseleva V. M. Kurkov and A. S. Kiseleva
  • Moscow State University of Geodesy and Cartography, Bld. 4, Gorokhovsky Ln., 105064, Moscow, Russia

Keywords: Digital Elevation Model, UAV, SGM algorithm, Dense Matching, Dense Cloud, Multiray Photogrammetry, Expected Accuracy of Dense DEM

Abstract. Currently, digital elevation models (DEM) created by photogrammetric method based on unmanned aerial survey data are becoming an increasingly popular product. They are used in various areas of human activity related to modelling and analysis of terrain, namely: topography, engineering and geodetic surveys, surveying, archaeology, geomorphology, etc. The accuracy of digital surface and terrain models obtained by the photogrammetric method depends on the accuracy of aerial triangulation and dense point cloud from a number of overlapping images. In turn, the accuracy of the aerial triangulation is determined by the accuracy of the measurements of the tie points, GCP's / check points and the intersection geometry. When constructing a dense cloud using the SGM algorithm, the quality of the surface/terrain model depends not only on the accuracy of point identification, but also on filtering outliers and rejecting unreliable measurements. This article presents the results of evaluating the accuracy of creating a digital elevation model obtained by various unmanned aerial survey systems on a single test area.