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DEM ACCURACY RESEARCH BASED ON UNMANNED AERIAL SURVEY DATA

机译:基于无人空中调查数据的DEM准确性研究

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摘要

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.
机译:目前,基于无人航行测量数据的摄影测量方法创建的数字高度模型(DEM)正在成为一种越来越流行的产品。它们用于与地形建模和分析相关的人类活动的各个领域,即:地形,工程和大地测量调查,测量,考古学,地貌等。通过摄影测量方法获得的数字表面和地形模型的准确性取决于来自许多重叠图像的空中三角测量和密度云的准确性。反过来,鸟瞰三角测量的准确性由系数,GCP /检查点和交叉点几何的测量的准确性决定。使用SGM算法构建密集云时,表面/地形模型的质量不仅取决于点识别的准确性,还取决于滤波异常值并拒绝不可靠的测量。本文介绍了评估在单个测试区上各种无人空中测量系统获得的数字高度模型的准确性的结果。

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