Exploiting deep learning and volunteered geographic information for mapping buildings in Kano, Nigeria

Buildings in the developing world are inadequately mapped. Lack of such critical geospatial data adds unnecessary challenges to locating and reaching a large segment of the world’s most vulnerable population, impeding sustainability goals ranging from disaster relief to poverty reduction. Use of vol...

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Detalles Bibliográficos
Autores principales: Yuan, Jiangye, Roy Chowdhury, Pranab K., McKee, Jacob, Yang, Hsiuhan Lexie, Weaver, Jeanette, Bhaduri, Budhendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198754/
https://www.ncbi.nlm.nih.gov/pubmed/30351298
http://dx.doi.org/10.1038/sdata.2018.217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198754/
https://www.ncbi.nlm.nih.gov/pubmed/30351298
http://dx.doi.org/10.1038/sdata.2018.217

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