Urban Buildings Update Monitoring Based on Sky Visibility Estimation using GNSS and LEO

Haosheng Xu, Li-Ta Hsu

Peer Reviewed

Abstract:	With the development of the 3DMA GNSS, the reliability of the building models becomes essential, especially for regions undertaking tremendous urban renewal. This study integrates the idea of satellite-based context awareness into the monitoring of building renewal. The sky visibility of the receiver tracked the LEO and GNSS constellations are estimated as the context of the environment, which is named sky visibility estimation. By using the changes between the estimated sky visibility and pre-surveyed building information in sky visibility, we could identify the area with updated buildings. The experiment in Hong Kong's urban scenario is conducted to evaluate the performance of the proposed algorithm. To simulate a building update, one building model has been removed from the existing 3D building models as the updated building. Based on our algorithm, the updated building could be detected by its high updated building probability, as 77.57% with the sky visibility estimation. Furthermore, the updated building probability of an updated building could reach 95% with accurate sky visibility.
Published in:	Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) September 19 - 23, 2022 Hyatt Regency Denver Denver, Colorado
Pages:	1775 - 1783
Cite this article:	Xu, Haosheng, Hsu, Li-Ta, "Urban Buildings Update Monitoring Based on Sky Visibility Estimation using GNSS and LEO," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 1775-1783. https://doi.org/10.33012/2022.18502
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