Research on vector road data matching method based on flat curve

Yu Yan; Yuefeng Lu; Ying Sun; Shuaibing Zhao; Xueyuan Li; Penglin Pan

doi:10.1117/12.3024162

21 February 2024 Research on vector road data matching method based on flat curve

Yu Yan, Yuefeng Lu, Ying Sun, Shuaibing Zhao, Xueyuan Li, Penglin Pan

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 1298804 (2024) https://doi.org/10.1117/12.3024162
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

In this research, a vector road data matching approach exclusively targeted at road data is proposed to suit the needs of quick and real-time updates of geographic databases. The location and kind of alterations to the road construction have to be precisely identified using this method. We suggest a technique for feature matching of vector road data from several eras under the same scale and geographic coordinate system by using the properties of road alignments. This helps us track changes in road development by allowing us to recognize how different road sections vary over time. Moreover, it forms the foundation for gradual updates of spatial data.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yu Yan, Yuefeng Lu, Ying Sun, Shuaibing Zhao, Xueyuan Li, and Penglin Pan "Research on vector road data matching method based on flat curve", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 1298804 (21 February 2024); https://doi.org/10.1117/12.3024162

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