Seamless Multi Station Merging of Terrestrial Laser Scanned 3D Point Clouds
SHENG Ye-hua
ZHANG Ka
ZHANG Kai
WANG Yong-bo
Abstract：Aiming at solving the problem of how to merge the 3D point clouds acquired by terrestrial laser scanner at different stations to form the whole representation of scanned object,a simple and seamless data merging approach for data from multi stations is proposed based on the theory of surveying adjustment.Firstly,the parameters of coordinate transformation are worked out with restricted conditional parameter adjustment,which uses the homologous points in overlapped region of this station and the previous neighbor station as the thread.Secondly,the parameters of each station are further adj usted serially and weightedly considering the closure condition.The final coordinate transformation models for each station can be set up with these adjusted parameters,and the coordinate of point clouds acquired at each station are transformed to the same project coordinate system and merged to a whole.The seamless merging result which is carried out on a building scanned at multi stations indicates that this data merging approach is feasible and effective.
Keywords：3D laser scanningcoordinate transformationpoint clouddata mergingerror adiustment
Publication Date：2010-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 233-237 )