INTERPOLATION OF 3D LASER POINT CLOUDS DATA BASEDON KRIGING INTERPOLATION AND SURFACE FITTING
Diao Xinpeng 1, 2) ;and Wu Kan 1, 2)
1)School of Environment Science and Spatial Informatics, CUMT, Xuzhou 221116;2)Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221008
Abstract When using 3D laser point clouds data to obtain DEM, there is need to mend the data, because the sampling blind exists and many nonground points were eliminated in the filtering process. The Kriging algorithm has been applied extensively in the data interpolation.In this paper,a new method to the parameter estimate of variogram theory model has been put forward.According to the principle of Kriging algorithm combining with surface fitting the defects of low efficiency is overcome. Finally, an example is investigated to verify the validity and practicability in the interpolation of point clouds data.
Key words ：
Kriging interpolation
surface fitting
point clouds
variogram
parameter estimate
Received: 01 January 1900
Corresponding Authors:
Diao Xinpeng
Cite this article:
Diao Xinpeng,and Wu Kan. INTERPOLATION OF 3D LASER POINT CLOUDS DATA BASEDON KRIGING INTERPOLATION AND SURFACE FITTING[J]. , 2012, 32(1): 110-113.
Diao Xinpeng,and Wu Kan. INTERPOLATION OF 3D LASER POINT CLOUDS DATA BASEDON KRIGING INTERPOLATION AND SURFACE FITTING[J]. jgg, 2012, 32(1): 110-113.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I1/110
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