Modeling the Global Relationship via the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data

Modeling the Global Relationship via the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data

Due to the irregularity and complexity of ground and non-ground objects, filtering non-ground data from airborne LiDAR point clouds to create Digital Elevation Models (DEMs) remains a longstanding and unresolved challenge. Recent advancements in deep learning have offered effective solutions for und...

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Bibliographic Details
Main Authors: Libo Cheng, Rui Hao, Zhibo Cheng, Taifeng Li, Tengxiao Wang, Wenlong Lu, Yulin Ding, Han Hu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
terrain filtering
point clouds
semantic segmentation
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/23/5434

Internet

https://www.mdpi.com/2072-4292/15/23/5434

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