Enriched Semantic 3D Point Clouds: An Alternative to 3D City Models for Digital Twin for Cities?
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43699-4_26
Reference76 articles.
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5. Ballouch Z et al (2022) Toward a deep learning approach for automatic semantic segmentation of 3D lidar point clouds in urban areas. In: Barramou F et al (eds) Geospatial intelligence: applications and future trends. Springer International Publishing, Cham, pp 67–77
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