Point Density Variations in Airborne Lidar Point Clouds

Autor:	Vaclav Petras, Anna Petrasova, James B. McCarter, Helena Mitasova, Ross K. Meentemeyer
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	airborne lidar laser scanning point density pattern nonuniform point distribution geospatial mapping remote sensing Chemical technology TP1-1185
Zdroj:	Sensors, Vol 23, Iss 3, p 1593 (2023)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s23031593
Popis:	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.
Databáze:	Directory of Open Access Journals
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