Cargando…

Point Density Variations in Airborne Lidar Point Clouds

In spite of increasing point density and accuracy, airborne lidar point clouds often exhibit point density variations. Some of these density variations indicate issues with point clouds, potentially leading to errors in derived products. To highlight these issues, we provide an overview of point den...

Descripción completa

Detalles Bibliográficos
Autores principales: Petras, Vaclav, Petrasova, Anna, McCarter, James B., Mitasova, Helena, Meentemeyer, Ross K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920349/
https://www.ncbi.nlm.nih.gov/pubmed/36772634
http://dx.doi.org/10.3390/s23031593
_version_ 1784887048125022208
author Petras, Vaclav
Petrasova, Anna
McCarter, James B.
Mitasova, Helena
Meentemeyer, Ross K.
author_facet Petras, Vaclav
Petrasova, Anna
McCarter, James B.
Mitasova, Helena
Meentemeyer, Ross K.
author_sort Petras, Vaclav
collection PubMed
description In spite of increasing point density and accuracy, airborne lidar point clouds often exhibit point density variations. Some of these density variations indicate issues with point clouds, potentially leading to errors in derived products. To highlight these issues, we provide an overview of point density variations and show examples in six airborne lidar point cloud datasets that we used in our topographic and geospatial modeling research. Using the published literature, we identified sources of point density variations and issues indicated or caused by these variations. Lastly, we discuss the reduction in point density variations using decimations, homogenizations, and their applicability.
format Online
Article
Text
id pubmed-9920349
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99203492023-02-12 Point Density Variations in Airborne Lidar Point Clouds Petras, Vaclav Petrasova, Anna McCarter, James B. Mitasova, Helena Meentemeyer, Ross K. Sensors (Basel) Article In spite of increasing point density and accuracy, airborne lidar point clouds often exhibit point density variations. Some of these density variations indicate issues with point clouds, potentially leading to errors in derived products. To highlight these issues, we provide an overview of point density variations and show examples in six airborne lidar point cloud datasets that we used in our topographic and geospatial modeling research. Using the published literature, we identified sources of point density variations and issues indicated or caused by these variations. Lastly, we discuss the reduction in point density variations using decimations, homogenizations, and their applicability. MDPI 2023-02-01 /pmc/articles/PMC9920349/ /pubmed/36772634 http://dx.doi.org/10.3390/s23031593 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Petras, Vaclav
Petrasova, Anna
McCarter, James B.
Mitasova, Helena
Meentemeyer, Ross K.
Point Density Variations in Airborne Lidar Point Clouds
title Point Density Variations in Airborne Lidar Point Clouds
title_full Point Density Variations in Airborne Lidar Point Clouds
title_fullStr Point Density Variations in Airborne Lidar Point Clouds
title_full_unstemmed Point Density Variations in Airborne Lidar Point Clouds
title_short Point Density Variations in Airborne Lidar Point Clouds
title_sort point density variations in airborne lidar point clouds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920349/
https://www.ncbi.nlm.nih.gov/pubmed/36772634
http://dx.doi.org/10.3390/s23031593
work_keys_str_mv AT petrasvaclav pointdensityvariationsinairbornelidarpointclouds
AT petrasovaanna pointdensityvariationsinairbornelidarpointclouds
AT mccarterjamesb pointdensityvariationsinairbornelidarpointclouds
AT mitasovahelena pointdensityvariationsinairbornelidarpointclouds
AT meentemeyerrossk pointdensityvariationsinairbornelidarpointclouds