INVESTIGATION OF POINTNET FOR SEMANTIC SEGMENTATION OF LARGE-SCALE OUTDOOR POINT CLOUDS

8 citations as recorded by crossref.

1. Point-SCT: A Multiscale Spatial Convolution-Swin Transformer Network for Point Cloud Ground Filtering in Complex Mountainous Terrains J. Li et al. https://doi.org/10.1109/TGRS.2025.3573023
2. SAMNet++: A Segment Anything Model for Supervised 3D Point Cloud Semantic Segmentation M. Shahraki et al. https://doi.org/10.3390/rs17071256
3. Airborne Point Cloud Fusion with Local Plane Constraints for Advanced Semantic Consistency S. Parvaz et al. https://doi.org/10.3390/rs18152598
4. GFE-Net: Geometry-Enhanced Feature Extraction Network for Semantic Segmentation of Large-Scale LiDAR Point Clouds H. Liu et al. https://doi.org/10.3390/rs18172990
5. ND-Net: Neighborhood Description Network for Large-scale Point Cloud Semantic Segmentation W. Zhou et al. https://doi.org/10.1109/JSTARS.2026.3699958
6. DAPNet++: density adaptive PointNet + + for airborne laser scanning data Z. Akbulut & F. Karsli https://doi.org/10.1007/s12145-024-01543-9
7. Forest-PointNet: A Deep Learning Model for Vertical Structure Segmentation in Complex Forest Scenes Z. Ma et al. https://doi.org/10.3390/rs15194793
8. Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds A. Morales-Martín et al. https://doi.org/10.3390/s24072168