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Article Dans Une Revue IEEE Computer Graphics and Applications Année : 2017

Terrain model reconstruction from terrestrial LiDAR data using radial basis functions

Résumé

The presence of vegetation and the terrain topography itself generate strong occlusions causing large gaps in terrestrial laser scanning (TLS) data at the ground level as well as a risk of integrating above-ground objects. This article introduces a surface-approximation algorithm dedicated to extracting digital terrain models (DTMs) from terrestrial TLS data acquired in forest areas. The proposed method is based on the combination of a quadtree subdivision of space guided by the local density and distribution of data together with a surface modeling via radial basis functions, which are used as partitions of unity for merging local quadratic approximating patches.
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Dates et versions

hal-01380160 , version 1 (12-10-2016)

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Jules Morel, Alexandra Bac, Cédric Vega. Terrain model reconstruction from terrestrial LiDAR data using radial basis functions. IEEE Computer Graphics and Applications, 2017, 37 (5), pp.72-84. ⟨10.1109/MCG.2017.3621225⟩. ⟨hal-01380160⟩
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