Machine learning-based segmentation of aerial LiDAR point cloud data on building roof-Reference-Cited by-同舟云学术

Machine learning-based segmentation of aerial LiDAR point cloud data on building roof

Published:2023-05-11 Issue:1 Volume:56 Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Dey Emon Kumar¹^ORCID,Awrangjeb Mohammad¹,Tarsha Kurdi Fayez²,Stantic Bela¹

Affiliation:

1. School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia

2. School of Civil Engineering & Surveying, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Springfield, QLD, Australia

Funder

no funding

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2023.2210745

Reference81 articles.

1. Automatic detection of building roofs from point clouds produced by the dense image matching technique

2. Using point cloud data to identify, trace, and regularize the outlines of buildings

3. An Automatic and Threshold-Free Performance Evaluation System for Building Extraction Techniques From Airborne LIDAR Data

4. Automatic Segmentation of Raw LIDAR Data for Extraction of Building Roofs

5. Automatic detection of residential buildings using LIDAR data and multispectral imagery

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