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Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning

Cities in the developing world are expanding rapidly, and undergoing changes to their roads, buildings, vegetation, and other land use characteristics. Timely data are needed to ensure that urban change enhances health, wellbeing and sustainability. We present and evaluate a novel unsupervised deep...

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Foilsithe in:Sci Total Environ
Main Authors: Metzler, A Barbara, Nathvani, Ricky, Sharmanska, Viktoriia, Bai, Wenjia, Muller, Emily, Moulds, Simon, Agyei-Asabere, Charles, Adjei-Boadi, Dina, Kyere-Gyeabour, Elvis, Tetteh, Jacob Doku, Owusu, George, Agyei-Mensah, Samuel, Baumgartner, Jill, Robinson, Brian E, Arku, Raphael E, Ezzati, Majid
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2023
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7615085/
https://ncbi.nlm.nih.gov/pubmed/37315611
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.scitotenv.2023.164794
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