Published October 2, 2023
| Version v1
Dataset
Open
UVA laser scanning labelled las data over tropical moist forest classified as leaf or wood points
Authors/Creators
- 1. INRIA
- 2. IRD
Description
UAV Laser Scanning data collected over neotropical forest (Paracou French Guiana). Four flights conducted over one ha plot in 2021 and 2022.
Leaf wood labels were transferred from contemporaneous (2021) TLS acquisition, for which segmentation was done using LeWoS and onscreen post correction.
Predicted values using SOUL model (see ref below) for a single UAV-LS acquisition are provided as separate file.
Files
ULS_dataset_NeurIPS_2023_Semantic_segmentation_of_sparse_irregular_point_clouds_for_leaf_wood_discrimination.zip
Additional details
Related works
- Is cited by
- Conference paper: 10.48550/arXiv.2305.16963 (DOI)
References
- Y. Bai, J.-B. Durand, G. Vincent, and F. Forbes. Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. In Advances in Neural Information Processing Systems (NeurIPS), 2023.