Seed point set-based building roof extraction from airborne LiDAR point clouds using a top-down strategy-Reference-Cited by-同舟云学术

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Seed point set-based building roof extraction from airborne LiDAR point clouds using a top-down strategy

Published:2021-06 Issue: Volume:126 Page:103660
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Shao Jie,Zhang Wuming,Shen Aojie,Mellado Nicolas,Cai Shangshu,Luo Lei,Wang Nan,Yan Guangjian,Zhou Guoqing

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference44 articles.

1. Multi-scale roof characterization from LiDAR data and aerial orthoimagery: automatic computation of building photovoltaic capacity;Martín-Jiménez;Autom. Constr.,2020

2. Comparative analysis of machine learning and point-based algorithms for detection 3D changes in buildings over time using bi-temporal lidar data;Shirowzhan;Autom. Constr.,2019

3. Large-scale urban point cloud labeling and reconstruction;Zhang;ISPRS J. Photogramm. Remote Sens.,2018

4. SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning;Shao;ISPRS J. Photogramm. Remote Sens.,2020

5. Single scanner BLS system for forest plot mapping;Shao;IEEE Trans. Geosci. Remote Sens.,2021

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2. Automated geometric quality inspection for modular boxes using BIM and LiDAR;Automation in Construction;2024-08

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4. Application of Machine Learning to Detect Building Points in Photogrammetry-based Point Clouds;Periodica Polytechnica Civil Engineering;2024-05-29

5. On impact loading of Voronoi functional graded porous structure;Materials Today Communications;2024-03

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