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通过图卷积神经网络和道路网格关系分析从 OpenStreetMap 中提取多车道道路

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-06-24 DOI:10.1080/10106049.2024.2364682
Andong Wang, Fang Wu, Xianyong Gong, Renjian Zhai, Yue Qiu, Yuyang Qi
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引用次数: 0

摘要

矢量数据中的多车道道路由代表同一条道路的平行线特征组成。提取这些特征对于地图更新和制图概括至关重要。T...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Extracting multilane roads from OpenStreetMap through graph convolutional neural network and road mesh relationship analysis
Multilane roads in vector data are comprised of parallel line features that represent the same road. The extraction of these features is crucial for updating maps and cartographic generalization. T...
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来源期刊
Geocarto International
Geocarto International ENVIRONMENTAL SCIENCES-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
6.30
自引率
13.20%
发文量
407
审稿时长
>12 weeks
期刊介绍： Geocarto International is a professional academic journal serving the world-wide scientific and user community in the fields of remote sensing, GIS, geoscience and environmental sciences. The journal is designed: to promote multidisciplinary research in and application of remote sensing and GIS in geosciences and environmental sciences; to enhance international exchange of information on new developments and applications in the field of remote sensing and GIS and related disciplines; to foster interest in and understanding of science and applications on remote sensing and GIS technologies; and to encourage the publication of timely papers and research results on remote sensing and GIS applications in geosciences and environmental sciences from the world-wide science community. The journal welcomes contributions on the following: precise, illustrated papers on new developments, technologies and applications of remote sensing; research results in remote sensing, GISciences and related disciplines; Reports on new and innovative applications and projects in these areas; and assessment and evaluation of new remote sensing and GIS equipment, software and hardware.
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