中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors

文献类型:期刊论文

作者Sun, Ying; Lu, Yuefeng1,4; Ding, Ziqi; Wen, Qiao3; Li, Jing; Liu, Yanru; Yao, Kaizhong
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2023-11-01
卷号12期号:11页码:457
关键词SOD shape descriptor multi-scale vector spatial data data matching landmark extraction
DOI10.3390/ijgi12110457
产权排序2
文献子类Article
英文摘要Most commonly used road-based homonymous entity matching algorithms are only applicable to the same scale, and are weak in recognizing the one-to-many and many-to-many types that are common in matching at different scales. This paper explores model matching for multi-scale road data. By considering the sources of various scales and landmark datasets, as well as the spatial relationships between the selected objects and the detailed features of the entities, we propose an improved matching metric, the summation product of orientation and distance (SOD), combined with the shape descriptor based on feature point vectors, the shape area descriptor based on the minimum convex hull, and three other indicators, to establish multiple multi-scale road matching models. Through experiments, the comprehensive road matching model that combines SOD, orientation, distance and length is selected in this paper. When matching the road dataset with a scale of 1:50,000 and 1:10,000, the precision, recall, and F-score of the matching result of this model reached 97.31%, 94.33%, and 95.8%, respectively. In the case that the scale of the two datasets did not differ much, we concluded that the model can be used for matching between large-scale road datasets.
WOS关键词VORONOI DIAGRAM ; OPTIMIZATION ; NETWORKS ; OBJECTS ; SCALES
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
WOS记录号WOS:001113428800001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/201021]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Chongqing Rd Secondary Sch, Zibo 255000, Peoples R China
3.Hunan Univ Sci & Technol, Hunan Prov Key Lab Geoinformat Engn Surveying Mapp, Xiangtan 411201, Peoples R China
4.Shandong Univ Technol, Sch Civil Engn & Geomatics, Zibo 255049, Peoples R China
推荐引用方式
GB/T 7714
Sun, Ying,Lu, Yuefeng,Ding, Ziqi,et al. Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2023,12(11):457.
APA Sun, Ying.,Lu, Yuefeng.,Ding, Ziqi.,Wen, Qiao.,Li, Jing.,...&Yao, Kaizhong.(2023).Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,12(11),457.
MLA Sun, Ying,et al."Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 12.11(2023):457.

入库方式: OAI收割

来源:地理科学与资源研究所

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