Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds
In this article, we present a semantic segmentation framework for large-scale 3-D point clouds with high spatial resolution. For such data with huge amounts of points, the classification of each individual 3-D point is an intractable task. Instead, we propose to segment the scene into meaningful reg...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9103287/ |