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Land Cover Classification Based on Airborne Lidar Point Cloud with Possibility Method and Multi-Classifier
As important geospatial data, point cloud collected from an aerial laser scanner (ALS) provides three-dimensional (3D) information for the study of the distribution of typical urban land cover, which is critical in the construction of a “digital city”. However, existing point cloud classification me...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648668/ https://www.ncbi.nlm.nih.gov/pubmed/37960542 http://dx.doi.org/10.3390/s23218841 |