Deep projective prediction of building facade footprints from ALS point cloud

The automated extraction of building facade footprints (BFFs) is a critical task in surveying and remote sensing. Existing methods primarily use mobile laser scanning point cloud as the data source, with limited methods utilizing airborne laser scanning (ALS) data. This is mainly because current met...

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מידע ביבליוגרפי

Principais autores:	Hengming Dai, Jiabo Xu, Xiangyun Hu, Zhen Shu, Wei Ma, Zhifang Zhao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-05-01
סדרה:	International Journal of Applied Earth Observations and Geoinformation
נושאים:	Airborne laser scanning Building facade footprint Deep learning Point cloud Projective predictions
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1569843225000950
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