PASeg: positional-guided segmenter with multimodal semantic alignment for enhancing urban scene 3D semantic segmentation

PASeg: positional-guided segmenter with multimodal semantic alignment for enhancing urban scene 3D semantic segmentation

The application of LiDAR point cloud for urban environment analysis has become a critical approach in urban scene understanding. Concurrently, substantial progress has been made in 3D point cloud semantic segmentation, advancing the precision and effectiveness of urban scene interpretation. However,...

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Bibliographic Details
Main Authors: Yang Luo, Ting Han, Xiaorong Zhang, Yujun Liu, Duxin Zhu, Jinyuan Li, Yiping Chen, Yundong Wu, Guorong Cai, Yingchao Piao, Jinhe Su
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
Point cloud
semantic segmentation
urban scene
multimodal
positional guided
semantic alignment
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2528811
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