ALS Point Cloud Semantic Segmentation Based on Graph Convolution and Transformer With Elevation Attention

ALS Point Cloud Semantic Segmentation Based on Graph Convolution and Transformer With Elevation Attention

Semantic segmentation of airborne point clouds is crucial for 3D scene reconstruction and remote sensing in surveying applications. Current deep learning methods for point clouds primarily focus on effectively aggregating local neighborhood information. However, they often overlook the fusion of glo...

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Bibliographic Details
Main Authors: Shuowen Huang, Qingwu Hu, Pengcheng Zhao, Jiayuan Li, Mingyao Ai, Shaohua Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Airborne laser scanning (ALS)
graph convolution
point cloud
semantic segmentation
transformer
Online Access:https://ieeexplore.ieee.org/document/10375699/

Internet

https://ieeexplore.ieee.org/document/10375699/

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