Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning

This paper provides evidence on the usefulness of very high spatial resolution (VHR) imagery in gathering socioeconomic information in urban settlements. We use land cover, spectral, structure and texture features extracted from a Google Earth image of Liverpool (UK) to evaluate their potential to p...

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Detalles Bibliográficos
Autores principales: Arribas-Bel, Daniel, Patino, Jorge E., Duque, Juan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413026/
https://www.ncbi.nlm.nih.gov/pubmed/28464010
http://dx.doi.org/10.1371/journal.pone.0176684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413026/
https://www.ncbi.nlm.nih.gov/pubmed/28464010
http://dx.doi.org/10.1371/journal.pone.0176684

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