期刊名称:Revista Internacional de Contaminación Ambiental
印刷版ISSN:0188-4999
出版年度:2019
卷号:35
期号:3
页码:195-201
DOI:10.20937/RICA.2019.35.esp01.19
出版社:Centro de Ciencias de la Atmósfera
摘要: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.