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Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data
This paper presents an innovative multisensor, multitemporal machine-learning approach using remote sensing big data for the detection of archaeological mounds in Cholistan (Pakistan). The Cholistan Desert presents one of the largest concentrations of Indus Civilization sites (from ca. 3300 to 1500...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414161/ https://www.ncbi.nlm.nih.gov/pubmed/32690717 http://dx.doi.org/10.1073/pnas.2005583117 |