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Based on the digital photogrammetry principle and the computer vision theory, this paper utilizes Unmanned Aerial Vehicle (UAV) oblique photogrammetry technology to construct vegetation canopy structure three-dimensional model and to extract three-dimensional model impact factor by conducting image data orientation, matching and aerial triangulation. In order to verify whether the extraction factor is correct, this paper adopts vegetation point cloud data which are obtained from three-dimensional laser scanning. Combined with the actual case analysis, the results of the analysis show that the factor data extracted from the model are reliable.

SINGLE TREE THREE-DIMENSIONAL MODEL CONSTRUCTION AND IMPACT FACTOR EXTRACTION BASED ON OBLIQUE PHOTOGRAMMETRY