JOURNAL ARTICLE

Semantic segmentation of airborne LiDAR point cloud based on multi-feature fusion and geometric convolution

Mofan DaiShuai XingQingsong XuPengcheng LiKun Chen

Year: 2022 Journal:   Journal of Image and Graphics Vol: 27 (2)Pages: 574-585   Publisher: University of Portsmouth
Keywords:
Point cloud Lidar Convolution (computer science) Segmentation Computer science Feature (linguistics) Remote sensing Artificial intelligence Fusion Computer vision Cloud computing Point (geometry) Geology Mathematics Artificial neural network Geometry

Metrics

4
Cited By
0.39
FWCI (Field Weighted Citation Impact)
0
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
© 2026 ScienceGate Book Chapters — All rights reserved.