Research on Reality-based 3D Integrated Modeling with Multi-Source Integration
Traditional single data sources cannot meet the demands of high-precision modeling.To solve this problem,this paper proposes an integrated three-dimensional modeling method based on multi-source fusion for high-precision three-dimensional actual scene reconstruction by integrating data sources such as drone aerial photography,oblique photography,and ground-based RTK cameras.Multi-perspective stereo reconstruction and Poisson surface reconstruction are realized by optimizing the camera parameters through aerial triangulation,and detecting and matching feature points by the KAZE algorithm,and a high-precision 3D model is generated.The texture mapping is optimized by combining GPU/CPU acceleration and 3D Tiles technology.A test conducted at Xi'an Technological University shows that the model has a planar coordinate error of 0.09 m,a vertical coordinate error of 0.367 9 m,a height error of 0.105 6 m,a length error of 0.05 m,and a positional uncertainty ranging from 0.003 m to 0.051 9 m,which verifies the high precision and reliability of the method.This study provides robust geographic information support for urban digital operation and planning.
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