Efficient multi-modal high-precision semantic segmentation from MLS point cloud without 3D annotation

Quick and high-precision semantic segmentation from Mobile Laser Scanning (MLS) point clouds faces huge challenges such as large amounts of data, occlusion in complex scenes, and the high annotation cost associated with 3D point clouds. To tackle these challenges, this paper proposes a novel efficie...

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Detalhes bibliográficos

Principais autores:	Yuan Wang, Pei Sun, Wenbo Chu, Yuhao Li, Yiping Chen, Hui Lin, Zhen Dong, Bisheng Yang, Chao He
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
coleção:	International Journal of Applied Earth Observations and Geoinformation
Assuntos:	MLS point clouds Semantic segmentation 2D-3D Semantic mapping
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1569843224005995
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