Generation of Highly Accurate Digital Elevation Models with Unmanned Aerial Vehicles

被引:43
作者
Reshetyuk, Yuriy [1 ]
Martensson, Stig-Goran [2 ]
机构
[1] Univ Gavle, Fac Engn & Sustainable Dev, Dept Ind Dev IT & Land Management, Kungsbacksvagen 47, SE-80176 Gavle, Sweden
[2] Univ Gavle, SE-80176 Gavle, Sweden
关键词
DEM; DSM; photogrammetry; UAV; uncertainty; SYSTEMATIC-ERROR; POINT CLOUDS; UAV; PHOTOGRAMMETRY; SURFACES;
D O I
10.1111/phor.12143
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In order to investigate the possibilities for the generation of digital elevation models with a height uncertainty of 20mm or less using unmanned aerial vehicles, a survey with a fixed-wing aircraft was carried out over a gravel quarry in Gavle, Sweden. At flying heights of about 80 and 160m, the resulting imagery had ground sample distances of 24 and 50mm, respectively. The data was processed in two different software suites - computer-vision-based PhotoScan and photogrammetric RapidStation/RapidTerrain. The results show that PhotoScan was more effective in flat terrain, with height uncertainties of 10 and 17mm compared with 30 to 40mm for RapidTerrain, whereas the latter had a clear advantage over undulating terrain.
引用
收藏
页码:143 / 165
页数:23
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