PLANE FITTING OF POINT CLOUDS BASED ON ROBUST
WEIGHTED TOTAL LEAST SQUARES
1)Institute of GeoSpatial Information,Nanjing University of Technology,Nanjing 210009
2)School of Geodesy and Geomatics,Wuhan University,Wuhan 430079
Abstract:A method of conventional weighted total least squares was proposed based on the robust weighted total least squares for eliminating the influences of point clouds anomalous points in laser scanning data on fitting precision.The method can be used to correct adaptively the weight of observation vector and and coefficient matrix,and remove anomalous data.The result of fitting analysis with the point clouds from different distances shows that the fitting accuracy with the method is better than the conventional methods.
Ou Jiangxia,Li Mingfeng,Wang Yongming et al. PLANE FITTING OF POINT CLOUDS BASED ON ROBUST
WEIGHTED TOTAL LEAST SQUARES[J]. jgg, 2014, 34(3): 160-163.