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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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Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkkit: Artur Warchoł, Karolina Pęzioł, Marek Baścik
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2024-12-01
Ráidu:Energies
Fáttát:
Liŋkkat:https://www.mdpi.com/1996-1073/17/24/6413
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