Deep Learning-Based Semantic Segmentation of Airborne LiDAR Point Clouds Using a Transformer-Enhanced PointNet++ Architecture
Airborne LiDAR (Light Detection and Ranging) data is widely used in urban modelling and three-dimensional spatial analysis studies. However, the irregular structure of LiDAR point clouds, varying point densities, and class imbalances observed in the datasets make semantic segmentation problematic. T...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-04-01
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| Serie: | Geomatics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2673-7418/6/3/43 |
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