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