FEATURE RELEVANCE ANALYSIS FOR 3D POINT CLOUD CLASSIFICATION USING DEEP LEARNING

6 citations as recorded by crossref.

1. Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data M. F. Pinto et al. https://doi.org/10.3390/s20216187
2. Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques K. Aksu & H. Demirel https://doi.org/10.1109/ACCESS.2024.3423425
3. Reconstruction of 3D digital heritage objects for VR and AR applications S. Van Nguyen et al. https://doi.org/10.1080/24751839.2021.2008133
4. Transport Infrastructure Management Based on LiDAR Synthetic Data: A Deep Learning Approach with a ROADSENSE Simulator L. Comesaña-Cebral et al. https://doi.org/10.3390/infrastructures9030058
5. DAPNet++: density adaptive PointNet + + for airborne laser scanning data Z. Akbulut & F. Karsli https://doi.org/10.1007/s12145-024-01543-9
6. Contribution of Colour Information to the Classification of 3D Points from Aerial Images N. Yastikli & Z. Cetin https://doi.org/10.1007/s13369-023-08028-9