A robust method of thin plate spline and its application to DEM construction | |
Chen, Chuanfa1; Li, Yanyan2 | |
刊名 | COMPUTERS & GEOSCIENCES
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2012-11-01 | |
卷号 | 48页码:9-16 |
关键词 | Thin plate spline DEM Interpolation Kriging Orthogonal least squares |
英文摘要 | In order to avoid the ill-conditioning problem of thin plate spline (TPS), the orthogonal least squares (OLS) method was introduced, and a modified OLS (MOLS) was developed. The MOLS of TPS (TPS-M) can not only select significant points, termed knots, from large and dense sampling data sets, but also easily compute the weights of the knots in terms of back-substitution. For interpolating large sampling points, we developed a local TPS-M, where some neighbor sampling points around the point being estimated are selected for computation. Numerical tests indicate that irrespective of sampling noise level, the average performance of TPS-M can advantage with smoothing TPS. Under the same simulation accuracy, the computational time of TPS-M decreases with the increase of the number of sampling points. The smooth fitting results on lidar-derived noise data indicate that TPS-M has an obvious smoothing effect, which is on par with smoothing TPS. The example of constructing a series of large scale DEMs, located in Shandong province, China, was employed to comparatively analyze the estimation accuracies of the two versions of TPS and the classical interpolation methods including inverse distance weighting (IDW), ordinary kriging (OK) and universal kriging with the second-order drift function (UK). Results show that regardless of sampling interval and spatial resolution, TPS-M is more accurate than the classical interpolation methods, except for the smoothing TPS at the finest sampling interval of 20 m, and the two versions of kriging at the spatial resolution of 15 m. In conclusion, TPS-M, which avoids the ill-conditioning problem, is considered as a robust method for DEM construction. (C) 2012 Elsevier Ltd. All rights reserved. |
WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
类目[WOS] | Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary |
研究领域[WOS] | Computer Science ; Geology |
关键词[WOS] | DIGITAL ELEVATION MODELS ; INTERPOLATION ; ACCURACY ; SYSTEMS ; GIS ; ESTIMATOR ; ERRORS |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000309785200002 |
内容类型 | 期刊论文 |
源URL | [http://119.78.226.72/handle/331011/18085] ![]() |
专题 | 上海天文台_天文地球动力学研究中心 |
作者单位 | 1.Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Peoples R China 2.Shanghai Astron Observ, Shanghai 200030, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Chuanfa,Li, Yanyan. A robust method of thin plate spline and its application to DEM construction[J]. COMPUTERS & GEOSCIENCES,2012,48:9-16. |
APA | Chen, Chuanfa,&Li, Yanyan.(2012).A robust method of thin plate spline and its application to DEM construction.COMPUTERS & GEOSCIENCES,48,9-16. |
MLA | Chen, Chuanfa,et al."A robust method of thin plate spline and its application to DEM construction".COMPUTERS & GEOSCIENCES 48(2012):9-16. |
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