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A high accuracy surface modeling method based on GPU accelerated multi-grid method
Yan, Changqing1; Liu, Jimin1; Zhao, Gang2; Chen, Chuanfa3; Yue, Tianxiang4
2016-12-01
Source PublicationTRANSACTIONS IN GIS
ISSN1361-1682
Volume20Issue:6Pages:991-1003
Corresponding AuthorChen, Chuanfa(chencf@lreis.ac.cn)
AbstractA 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.
Keywordcomputing speed GPU HASM multi-grid method surface modeling
DOI10.1111/tgis.12224
WOS KeywordGRAPHICS PROCESSING UNITS ; LARGE-SCALE ; ALGORITHM
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000393305000010
PublisherWILEY-BLACKWELL
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64962
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Chuanfa
Affiliation1.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
Recommended Citation
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.
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