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	The smoothness of HASM
	Chen C. F. ; Yue T. X. ; Dai H. L. ; Tian M. Y.
	2013
关键词	error modeling digital elevation or terrain models digital elevation models spatial interpolation methods high-speed method high-accuracy splines computation surfaces error performance dems
英文摘要	To smooth noises inherent in uniformly sampled dataset, the smoothness of high accuracy surface modeling (HASM) was explored, and a smoothing method of HASM (HASM-SM) was developed based on a penalized least squares method. The optimal smoothing parameter of HASM-SM was automatically obtained by means of the generalized cross-validation (GCV) method. For an efficient smoothing computation, discrete cosine transform was employed to solve the system of HASM-SM and to estimate the minimum GCV score, simultaneously. Two examples including a numerical test and a real-world example were employed to compare the smoothing ability of HASM-SM with that of GCV thin plate smoothing spline (TPS) and kriging. The numerical test indicated that the minimum GCV HASM-SM is averagely more accurate than TPS and kriging for noisy surface smoothing. The real-world example of smoothing a lidar-derived Digital Elevation Model (DEM) showed that HASM-SM has an obvious smoothing effect, which is on a par with TPS. In conclusion, HASM-SM provides an efficient tool for filtering noises in grid-based surfaces like remote sensing-derived images and DEMs.
出处	International Journal of Geographical Information Science
卷	27
期	8
页	1651-1667
收录类别	SCI
语种	英语
ISSN号	1365-8816
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30636]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Chen C. F.,Yue T. X.,Dai H. L.,et al. The smoothness of HASM. 2013.

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