Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression

Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression

In recent years, the growth of digital data has been unimaginable. This also applies to geospatial data. One of the largest data types is LiDAR point clouds. Their large volumes on disk, both at the acquisition and processing stages, and in the final versions translate into a high demand for disk sp...

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Bibliographic Details
Main Authors: Artur Warchoł, Karolina Pęzioł, Marek Baścik
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
energy saving
data storage
point clouds
LiDAR
compression
compression rate
Online Access:https://www.mdpi.com/1996-1073/17/24/6413
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