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Title: Artificial Intelligence and Urban Block—Building the Common Language
Authors: Didem, Turk
Issue Date: 2023
Publisher: Springer
Abstract: The research focuses on the application of AI in the field of urban morphology. The research takes urban blocks as a case study and treats urban block-related high-resolution images as data. The aim is to train an AI model to automatically detect urban block to conduct further quantitative analysis.
Description: CC BY
URI: https://link.springer.com/article/10.1007/s00004-023-00705-4
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7477
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