Automatic alignment of semantic building models with digital city models through multi-level point cloud semantic segmentation and registration using PSO optimization: A case study of the TUM main campus

Titel:: Automatic alignment of semantic building models with digital city models through multi-level point cloud semantic segmentation and registration using PSO optimization: A case study of the TUM main campus
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Mehranfar, M.; Braun, A.; Borrmann, A.; Heeramaglore, M.; Kolbe, T. H.; Chen, Z.; Zhu, X. X.
Stichworte:: Digital twins, Built environment, Semantic segmentation, Artificial intelligence, Point cloud registration, LOCenter, GNI
Zeitschriftentitel:: International Journal of Applied Earth Observation and Geoinformation
Jahr:: 2026
Band / Volume:: 147
Seitenangaben Beitrag:: 105191
Volltext / DOI:: doi:10.1016/j.jag.2026.105191
WWW:: https://www.sciencedirect.com/science/article/pii/S156984322600107X
Print-ISSN:: 1569-8432
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