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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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2024-12-01
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| Serier: | Energies |
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| Online adgang: | https://www.mdpi.com/1996-1073/17/24/6413 |
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