System Development & Application
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3688-3691,3696

Attribute information reconstruction method of road network extracted by AI based on multi-factor geometric matching

Li Zhichao
Wang Yandong
Jia Ruolin
State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China

Abstract

Using AI technology can extract vector data from remote sensing images rapidly, especially the vector road network data with good real-time performance, but the extractive data has no attribute information. Existing multi-source data such as OSM road network data are open source and rich in attribute information, but the present situation is lower than that of road network extraction. According to the above situation, the AI extractive road network as benchmark data, the OSM network as the matching data, this paper applied a multi-factor geometric matching algorithm to the network matching process, and introduced the concept of matching degree after the match, carried out attribute reconstruction with the best matching object. The experimental results show that it can effectively reconstruct the AI extractive road network attribute information, and based on this, it developed a road network attribute information reconstruction system, which applied in the national global mapping project.

Foundation Support

国家重点研发计划资助项目(2016YFB0501403)
国家自然科学基金资助项目(41271399)
测绘地理信息公益性行业科研专项经费资助项目(201512015)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0187
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: System Development & Application
Pages: 3688-3691,3696
Serial Number: 1001-3695(2021)12-029-3688-04

Publish History

[2021-12-05] Printed Article

Cite This Article

李志超, 王艳东, 贾若霖. 基于多因子几何匹配的AI提取路网属性信息重建方法 [J]. 计算机应用研究, 2021, 38 (12): 3688-3691,3696. (Li Zhichao, Wang Yandong, Jia Ruolin. Attribute information reconstruction method of road network extracted by AI based on multi-factor geometric matching [J]. Application Research of Computers, 2021, 38 (12): 3688-3691,3696. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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