Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion

Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion

The semantic segmentation of small objects in point clouds is currently one of the most demanding tasks in photogrammetry and remote sensing applications. Multi-resolution feature extraction and fusion can significantly enhance the ability of object classification and segmentation, so it is widely u...

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Bibliographic Details
Main Authors: Jing Du, Zuning Jiang, Shangfeng Huang, Zongyue Wang, Jinhe Su, Songjian Su, Yundong Wu, Guorong Cai
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
LIDAR point cloud
semantic segmentation
feature fusion
deep learning
computer vision
Online Access:https://www.mdpi.com/1424-8220/21/5/1625

Internet

https://www.mdpi.com/1424-8220/21/5/1625

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