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Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
Data collected at large scale and low cost (e.g. satellite and street level imagery) have the potential to substantially improve resolution, spatial coverage, and temporal frequency of measurement of urban inequalities. Multiple types of data from different sources are often available for a given ge...
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| Publicado no: | Remote Sens Environ |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Elsevier Pub. Co
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7985619/ https://ncbi.nlm.nih.gov/pubmed/33941991 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rse.2021.112339 |
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