ACCURACY ANALYSIS OF TERRAIN POINT CLOUD ACQUIRED BY “STRUCTURE FROM MOTION”USING AERIAL PHOTOS

Structure from Motion
DOI: 10.3969/j.issn.0253-4967.2015.02.024 Publication Date: 2015-06-01
ABSTRACT
The need to acquire high-quality digital topographic data is evident throughout geoscience research. use of these elevates the research level geosciences. Airborne and terrestrial light detection ranging( Li DAR) are currently most prevalent techniques for generating such data,but high costs complex post processing laser-based restrict their availability. In past few years, a new stereoscopic photogrammetry mapping method called Structure from Motion( Sf M) has been applied in geoscience,in which 3D topography reconstructed using feature matching algorithms overlapping photographs multiple viewpoints.Sf M only needs series images with no special requirements about camera positions,orientations lens parameters,making it possible collected an affordable platform rapidly generate topography. This paper summarizes basic principles workflow,and shows that low-cost,effective tool applications compared DAR. We aerial photos ~ 70%overlap at one-thousand-meter height produce textured( color) point cloud density 25. 5 / m2. Such allows us DEM grid size of0. 2m. Compared DAR cloud,statistical analysis 58. 3% points deviate vertically closed by 0. 1m 88. There different accuracy landforms. higher low dips subdued landforms than steep consideration relative vertical error 12 m data,Sf measuring
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