Abstract:We are concerned with the issue of lacking an effective method to determine the covariance matrix of coefficient matrix and observation vector in spherical target positioning. The distance from point to plane reflects the correlation of point and plane, and the incidence angle makes a difference to point clouds. We expand both of them to spherical target positioning. The covariance matrix of coefficient matrix and observation vector are provided. The robust weighted total least squares method is applied to spherical target positioning, which is based on weighted total least squares and setting certain criteria. Point clouds with outliers are conquered in this method. The experimental results show that robust weighted total least squares, which determined covariance by distance, is better than other methods in spherical target positioning.
WANG Leyang,CHEN Hanqing,LIN Yongda et al. Spherical Target Positioning of 3D Laser Scanning by Using Robust WTLS Method[J]. jgg, 2016, 36(8): 745-749.