Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery

BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. Geosampling is a probability-based, gridded...

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Detalles Bibliográficos
Autores principales: Chew, Robert F., Amer, Safaa, Jones, Kasey, Unangst, Jennifer, Cajka, James, Allpress, Justine, Bruhn, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944062/
https://www.ncbi.nlm.nih.gov/pubmed/29743081
http://dx.doi.org/10.1186/s12942-018-0132-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944062/
https://www.ncbi.nlm.nih.gov/pubmed/29743081
http://dx.doi.org/10.1186/s12942-018-0132-1

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