28 citations · 35 across the 3 of their papers we have counts for
3 papers
3D LULC classification using multispectral LiDAR and deep learning: current and prospective schemes
Narges Takhtkeshha, Aldino Rizaldy, Markus Hollaus +3
Land Use Land Cover (LULC) classification is essential for national 3D mapping, geospatial analysis, and sustainable planning. Multispectral (MS) LiDAR provides synchronized spatia…
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
Josef Taher, Eric Hyyppä, Matti Hyyppä +46
Climate-smart and biodiversity-preserving forestry demands precise information on forest resources, extending to the individual tree level. Multispectral airborne laser scanning (A…
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
Stefano Puliti, Grant Pearse, Peter Surový +4
The FOR-instance dataset (available at https://doi.org/10.5281/zenodo.8287792) addresses the challenge of accurate individual tree segmentation from laser scanning data, crucial fo…