Comparison of machine learning and statistical approaches for Digital Elevation Model (DEM) correction: interim results
The correction of digital elevation models (DEMs) can be achieved using a variety of techniques. Machine learning and statistical methods are broadly applicable to a variety of DEM correction case studies in different landscapes. However, a literature survey did not reveal any research that compared...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2024-06-01
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| coleção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-archives.copernicus.org/articles/XLVIII-2-2024/315/2024/isprs-archives-XLVIII-2-2024-315-2024.pdf |
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