Robust multi-source geographic entities matching by maximizing geometric and semantic similarity

Abstract Geographic entity matching is an important means for multi-source spatial data fusion and information association and sharing. Corresponding matching methods have been designed by existing studies for different types of entity data characteristics, such as line and area. However, these appr...

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Bibliographic Details
Main Authors: YuHan Yan, PengDa Wu, Yong Yin, PeiPei Guo
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-79812-2
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