Urban Morphological Feature Extraction and Multi-Dimensional Similarity Analysis Based on Deep Learning Approaches

Urban Morphological Feature Extraction and Multi-Dimensional Similarity Analysis Based on Deep Learning Approaches

The study of urban morphology contributes to the evolution of cities and sustainable development. Urban morphological feature extraction and similarity analysis represents a practical framework in many studies to interpret and introduce the current built environment to aid in proposing novel designs...

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Bibliographic Details
Main Authors: Chenyi Cai, Zifeng Guo, Baizhou Zhang, Xiao Wang, Biao Li, Peng Tang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sustainability
Subjects:
urban morphology
deep learning
similarity analysis
cluster analysis
feature extraction
Online Access:https://www.mdpi.com/2071-1050/13/12/6859

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https://www.mdpi.com/2071-1050/13/12/6859

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