Feature-Based Deep Learning Classification for Pipeline Component Extraction from 3D Point Clouds

Feature-Based Deep Learning Classification for Pipeline Component Extraction from 3D Point Clouds

This paper proposes a novel method for construction component classification by designing a feature-based deep learning network to tackle the automation problem in construction digitization. Although scholars have proposed a variety of ways to achieve the use of deep learning to classify point cloud...

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Bibliographic Details
Main Authors: Zhao Xu, Rui Kang, Heng Li
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Buildings
Subjects:
deep learning
pipeline component extraction
point clouds
feature
CNN (convolutional neural network)
Online Access:https://www.mdpi.com/2075-5309/12/7/968

Internet

https://www.mdpi.com/2075-5309/12/7/968

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