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Rasterization Computing-Based Parallel Vector Polygon Overlay Analysis Algorithms Using OpenMP and MPI
Fan, Junfu1,2; He, Huixin1; Hu, Taoying1; Li, Guihua1; Qin, Liu1; Zhou, Yuke3
2018
Source PublicationIEEE ACCESS
ISSN2169-3536
Volume6Pages:21427-21441
Corresponding AuthorFan, Junfu(fanjf@sdut.edu.cn)
AbstractVector polygon overlay is a complex type of a geo-spatial analysis algorithm used in geographical information system, which requires increasingly higher computational efficiency given the rapid growth of spatial data sets. Parallel computing has provided an effective approach to improve the computational efficiency and expand the processing scales of polygon overlay algorithms. Polygon overlay analysis algorithms that are based on traditional vector polygon clipping algorithms will experience significant efficiency decreases when handling overlap among polygons that have quantities of vertices. The discretization processing method-based rasterization-based polygon clipping algorithm (RaPC) algorithm exhibits higher efficiency for addressing clipping issues among such polygons. In this paper, we designed and implemented two types of parallel polygon overlay analysis algorithms to determine the differences in efficiency between the RaPC algorithm and the Vatti algorithm under the open multi-processing and message passing interface parallel computing environments. The results show that parallel polygon overlay analysis methods based on the RaPC algorithm present advantages for processing overlap among large data sets. The parallel algorithm based on the Vatti algorithm presents higher efficiency when handling overlap among small spatial data sets. The discretization process between two overlapped geometries of the RaPC algorithm provided a potential approach to solve the polygon overlay problem using a fine-grained parallelization method.
KeywordOverlay analysis parallel computing rasterization vector polygon clipping OpenMP and MPI
DOI10.1109/ACCESS.2018.2825452
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41501425] ; National Natural Science Foundation of China[41471330] ; National Key Research and Development Program of China[2017YEB0503500] ; Key Research and Development Program of Shandong Province[2016GSF122006] ; Project of Shandong Province Higher Educational Science and Technology Program[J16LH03] ; Young Teacher Development Support Program of the Shandong University of Technology[4072-115016]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; Key Research and Development Program of Shandong Province ; Project of Shandong Province Higher Educational Science and Technology Program ; Young Teacher Development Support Program of the Shandong University of Technology
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000431638100001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55014
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFan, Junfu
Affiliation1.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ecol Observing Network & Modeling Lab, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Fan, Junfu,He, Huixin,Hu, Taoying,et al. Rasterization Computing-Based Parallel Vector Polygon Overlay Analysis Algorithms Using OpenMP and MPI[J]. IEEE ACCESS,2018,6:21427-21441.
APA Fan, Junfu,He, Huixin,Hu, Taoying,Li, Guihua,Qin, Liu,&Zhou, Yuke.(2018).Rasterization Computing-Based Parallel Vector Polygon Overlay Analysis Algorithms Using OpenMP and MPI.IEEE ACCESS,6,21427-21441.
MLA Fan, Junfu,et al."Rasterization Computing-Based Parallel Vector Polygon Overlay Analysis Algorithms Using OpenMP and MPI".IEEE ACCESS 6(2018):21427-21441.
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