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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Autores principales: A. K. M. Mahbubur Rahman, Moinul Zaber, Qianwei Cheng, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, Ryosuke Shibasaki
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f4c4f4ee1818416abeee7c944fb0485f
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