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RAILWAY LIDAR SEMANTIC SEGMENTATION WITH AXIALLY SYMMETRICAL CONVOLUTIONAL LEARNING
This paper presents a new deep-learning-based method for 3D Point Cloud Semantic Segmentation specifically designed for processing real-world LIDAR railway scenes. The new approach relies on the use of spatial local point cloud transformations for convolutional learning. These transformations allow...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Copernicus Publications
2022-05-01
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| Schriftenreihe: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Zugang: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2022/135/2022/isprs-annals-V-2-2022-135-2022.pdf |
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