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
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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 |
DOI | 10.3390/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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