A high accuracy surface modeling method based on GPU accelerated multi-grid method

doi:10.1111/tgis.12224

	A high accuracy surface modeling method based on GPU accelerated multi-grid method
	Yan, Changqing 1; Liu, Jimin 1; Zhao, Gang 2; Chen, Chuanfa 3; Yue, Tianxiang 4
刊名	TRANSACTIONS IN GIS
	2016-12-01
卷号	20 期号:6 页码:991-1003
关键词	computing speed GPU HASM multi-grid method surface modeling
ISSN号	1361-1682
DOI	10.1111/tgis.12224
通讯作者	Chen, Chuanfa(chencf@lreis.ac.cn)
英文摘要	A high accuracy surface modeling method (HASM) has been developed to provide a solution to many surface modeling problems such as DEM construction, surface estimation and spatial prediction. Although HASM is able to model surfaces with a higher accuracy, its low computing speed limits its popularity in constructing large scale surfaces. Hence, the research described in this article aims to improve the computing efficiency of HASM with a graphic processor unit (GPU) accelerated multi-grid method (HASM-GMG). HASM-GMG was tested with two types of surfaces: a Gauss synthetic surface and a real-world example. Results indicate that HASM-GMG can gain significant speedups compared with CPU-based HASM without acceleration on GPU. Moreover, both the accuracy and speed of HASM-GMG are superior to the classical interpolation methods including Kriging, Spline and IDW.
资助项目	National Natural Science Foundation of China[41101433] ; National Natural Science Foundation of China[41371367] ; National Statistics Research Project[2013LZ16] ; Natural Science Foundation of Shandong Province[ZR2013DM011] ; Shandong University of Science and Technology ; Joint Innovative Center for Safe and Effective Mining Technology and Equipment of Coal Resources ; State Key Laboratory of Resources and Environmental Information System ; Start-up Foundation for Doctors of Shandong University of Science and Technology[2014RCJJ038]
WOS关键词	GRAPHICS PROCESSING UNITS ; LARGE-SCALE ; ALGORITHM
WOS研究方向	Geography
语种	英语
出版者	WILEY-BLACKWELL
WOS记录号	WOS:000393305000010
资助机构	National Natural Science Foundation of China ; National Statistics Research Project ; Natural Science Foundation of Shandong Province ; Shandong University of Science and Technology ; Joint Innovative Center for Safe and Effective Mining Technology and Equipment of Coal Resources ; State Key Laboratory of Resources and Environmental Information System ; Start-up Foundation for Doctors of Shandong University of Science and Technology
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64961]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Chuanfa
作者单位	1.Shandong Univ Sci & Technol, Dept Informat Engn, Daizong Ave, Tai An 271000, Shandong, Peoples R China 2.Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Crop Sci Grp, Katzenburgweg 5, D-53115 Bonn, Germany 3.Shandong Univ Sci & Technol, State Key Lab Min Disaster Prevent & Control, Qingdao 266590, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Yan, Changqing,Liu, Jimin,Zhao, Gang,et al. A high accuracy surface modeling method based on GPU accelerated multi-grid method[J]. TRANSACTIONS IN GIS,2016,20(6):991-1003.
APA	Yan, Changqing,Liu, Jimin,Zhao, Gang,Chen, Chuanfa,&Yue, Tianxiang.(2016).A high accuracy surface modeling method based on GPU accelerated multi-grid method.TRANSACTIONS IN GIS,20(6),991-1003.
MLA	Yan, Changqing,et al."A high accuracy surface modeling method based on GPU accelerated multi-grid method".TRANSACTIONS IN GIS 20.6(2016):991-1003.