Open Source Deep Learning Solutions for the Classification of MMS Urban 3D Data
Recent efforts on geospatial data processing showed a good potential for machine learning, particularly deep learning, tools in the automatic semantic interpretation of a 3D scene. Machine understanding of the surrounding environment is of great importance for several applications, including in part...
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Main Authors: | M. La Guardia, A. Masiero, V. Bonora, A. Alessandrini |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2025-07-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/839/2025/isprs-archives-XLVIII-G-2025-839-2025.pdf |
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