August 1, 2024Journal of Mining and Earth Sciences

3D LoD2 modelling of Halong City based on UAV point cloud

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HLHa Thu LeHanoi Medical University NNNghia Viet NguyenHanoi University of Mining and Geology TNTrung NguyenVietnam National University Ho Chi Minh City

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Implication

Photogrammetric evaluation demonstrates centimeter-level accuracy for 3D LoD2 CityGML models reconstructed from UAV point clouds, highlighting an efficient mapping workflow for urban areas.

Key Points

Reconstruction of urban structures achieves accurate LoD2 CityGML models from dense point clouds, effectively capturing building geometry while preserving feature boundaries.
Positional square errors remain within 1.4 cm to 1.7 cm across spatial axes, confirming high geometric precision of the resulting LoD2 building representations.
Assessment using statistical outlier remover filtering denoises aerial imagery, which highlights a cost-effective mapping workflow for developing smart city environments.

Cite This Study

Le et al. (2024) studied this question.

synapsesocial.com/papers/68e5dfdcb6db6435875746a9 https://doi.org/10.46326/jmes.2024.65(4).01

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Implication

Photogrammetric evaluation demonstrates centimeter-level accuracy for 3D LoD2 CityGML models reconstructed from UAV point clouds, highlighting an efficient mapping workflow for urban areas.

3D LoD2 modelling of Halong City based on UAV point cloud

Discussion

Member takes

Implication

Key Points

Cite This Study

3D LoD2 modelling of Halong City based on UAV point cloud

Discussion

Member takes

Implication

Key Points

Cite This Study

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