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Street view search engine:A data-driven framework for urban imagery analysis and exploration

Lan Ma Xu Zhao Xiwen Zhang Mingzhen Lu Chao Xie

建筑模拟（英文版）2025，Vol.18Issue(12)：3153-3171,19.

建筑模拟（英文版）2025，Vol.18Issue(12)：3153-3171,19.DOI:10.1007/s12273-025-1363-2

Street view search engine:A data-driven framework for urban imagery analysis and exploration

Lan Ma ¹Xu Zhao ¹Xiwen Zhang ¹Mingzhen Lu ²Chao Xie¹

作者信息

1. School of Architecture and Urban Planning,Guangdong University of Technology,Guangzhou 510062,China
2. Department of Mechanical Engineering,The Hong Kong Polytechnic University,Hong Kong,China
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摘要

关键词

urban imagery/self-organizing maps/image semantic segmentation/visual complexity/isovist/street view search engine

Key words

urban imagery/self-organizing maps/image semantic segmentation/visual complexity/isovist/street view search engine

引用本文复制引用

Lan Ma,Xu Zhao,Xiwen Zhang,Mingzhen Lu,Chao Xie..Street view search engine:A data-driven framework for urban imagery analysis and exploration[J].建筑模拟（英文版）,2025,18(12):3153-3171,19.

基金项目

This research was supported by the National Natural Science Foundation of China(Grant No.52308015),the Guangdong Basic and Applied Basic Research Foundation(Grant No.2024A1515011214),and the Guangzhou Science and Technology Planning Project(Grant No.SL2024A04J01189). （Grant No.52308015）

建筑模拟（英文版）

ISSN：1996-3599

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