NOISE ELIMINATION ALGORITHMS FOR TERRESTRIAL 3D LASER SCANNING DATA WITH PRIORI INFORMATION
Zhao Xin 1,2) ; Wu Kan 1,2) ;and Cai Lailiang 1,2)
1)Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221116;2)School of Environment Science & Spatial Informatics, CUMT, Xuzhou 221116
Abstract：In order to avoid the distortion of the real situation reconstruction, and on the basis of related theory of noise removing, some researches are taken and three noise elimination algorithms for terrestrial 3D laser scanning data with priori information, utilizing the points labled with height as the priori information are presented, elevation of interpolation, fitting plane or trend surface with Leastsquare method being compared, and choice of proper threshold to eliminate noise. The experimental results indicate that points labled with height can be used as standard of noise elimination for the entity features are well preserved.
Zhao Xin,Wu Kan,and Cai Lailiang. NOISE ELIMINATION ALGORITHMS FOR TERRESTRIAL 3D LASER SCANNING DATA WITH PRIORI INFORMATION[J]. jgg, 2011, 31(4): 107-111.
