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Johnson & Johnson (France)

France

1 paper here29 citations across 1
fields
  • eess.IV1
ROR 00gfjrf11OpenAlex

affiliations via OpenAlex

most cited3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data

29 citations

researchers with a paper here
  • Arthur Le Guennec1
  • Baptiste Feldmann1
  • Daniel Girardeau-Montaut1
  • Dimitri Lague1
  • Mathilde Letard1
  • Paul Leroy1
  • Sébastien Lefèvre1
  • Thomas Corpetti1
collaborating institutions
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Géosciences RennesFR1 paper
  • Institut de Recherche en Informatique et Systèmes AléatoiresFR1 paper
  • Littoral, Environnement, Télédétection, GéomatiqueFR1 paper
  • Université de Bretagne SudFR1 paper
  • Université de RennesFR1 paper

1 paper

eess.IV2024★ 29 cited

3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data

Mathilde Letard, Dimitri Lague, Arthur Le Guennec +5

Three-dimensional data have become increasingly present in earth observation over the last decades. However, many 3D surveys are still underexploited due to the lack of accessible…

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