Applying State-of-the-Art Deep-Learning Methods to Classify Urban Cities of the Developing World

This paper shows the efficacy of a novel urban categorization framework based on deep learning, and a novel categorization method customized for cities in the global south. The proposed categorization method assesses urban space broadly on two dimensions—the states of urbanization and the architectu...

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Detalles Bibliográficos
Autores principales: Rahman, A. K. M. Mahbubur, Zaber, Moinul, Cheng, Qianwei, Nayem, Abu Bakar Siddik, Sarker, Anis, Paul, Ovi, Shibasaki, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621463/
https://www.ncbi.nlm.nih.gov/pubmed/34833546
http://dx.doi.org/10.3390/s21227469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621463/
https://www.ncbi.nlm.nih.gov/pubmed/34833546
http://dx.doi.org/10.3390/s21227469

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