Decoding the public gaze: a deep learning framework for assessing the perception of architectural heritage
- Release time:2026-07-14
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DOI number:
10.1080/10286608.2026.2698566
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Journal:
Civil Engineering and Environmental Systems
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Funded by:
陕西省文物保护利用重大课题(2023HZ1524)
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Key Words:
Urban heritage; urban perception; deep learning; street view imagery; spatial heterogeneity; historic urban landscape
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Abstract:
以西安城墙为例,结合街景图像深度学习与多尺度地理加权回归,分析客观环境质量与公众感知之间的空间一致性及偏离。研究识别感知共鸣区与失配区,揭示环境因素作用的空间异质性,为历史城市景观保护和分区治理提供依据。
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Note:
已于2026-07-14在线发表;卷期尚未分配;页码为在线版页码。;摘要为根据原文译写的中文简述。
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Co-author:
Longhao Zhang, Fengliang Tang,Lei Wang, Beibei Liu
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First Author:
Yingning Shen
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Indexed by:
Journal paper
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Correspondence Author:
Junmin Liu
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Discipline:
Interdisciplinary
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Page Number:
1-36
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ISSN No.:
1028-6608; 1029-0249
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Translation or Not:
no
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Date of Publication:
2026-01-01
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Included Journals:
SCI
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