Comparative analysis of machine learning and point-based algorithms for detecting 3D changes in buildings over time using bi-temporal lidar data-Reference-Cited by-同舟云学术

Comparative analysis of machine learning and point-based algorithms for detecting 3D changes in buildings over time using bi-temporal lidar data

Published:2019-09 Issue: Volume:105 Page:102841
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Shirowzhan Sara,Sepasgozar Samad M.E.,Li Heng,Trinder John^ORCID,Tang Pingbo

Publisher

Elsevier BV

Subject

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

Reference55 articles.

1. Urban changes with satellite imagery and lidar data;Malpica;Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.,2010

2. A feature based approach to automatic change detection from Lidar data in urban areas;Choi;Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci.,2009

3. Spatial compactness metrics and constrained voxel automata development for analyzing 3D densification and applying to point clouds: a synthetic review;Shirowzhan;Autom. Constr.,2018

4. Enhanced autocorrelation-based algorithms for filtering airborne lidar data over urban areas;Shirowzhan;J. Surv. Eng.,2016

5. Automated progress control using laser scanning technology;Zhang;Autom. Constr.,2013

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