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...

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Detalles Bibliográficos
Autores principales: Orengo, Hector A., Conesa, Francesc C., Garcia-Molsosa, Arnau, Lobo, Agustín, Green, Adam S., Madella, Marco, Petrie, Cameron A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Physical Sciences
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

Internet

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

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