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Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are difficult to translate into interpretable measures. For example, the Global Human Settlement Layer GHS-BUILT-S2 product reports the probabi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653213/ https://www.ncbi.nlm.nih.gov/pubmed/37975073 http://dx.doi.org/10.1016/j.jag.2023.103469 |