Traditional village preservation status evaluation and optimization based on YOLOv10 and random forest model—take the Tibetan-Qiang region in northwest Sichuan as an exampleOA
Traditional village preservation status evaluation and optimization based on YOLOv10 and random forest model—take the Tibetan-Qiang region in northwest Sichuan as an example
Xiaoyi Zu;Peng Liu;Chen Gao;Rui Hou;Zining Huang;Yuxin Ao;Yi Wang
School of Architecture,Tsinghua University,Beijing 100084,ChinaThe Export-import Bank of China,Beijing 100031,ChinaLeibniz Institute for Research on Society and Space(IRS),15537 Erkner,Germany||Geography Department,Humboldt-Universität zu Berlin,12489 Berlin,GermanySchool of Architecture,Tsinghua University,Beijing 100084,ChinaSchool of Architecture,Tsinghua University,Beijing 100084,ChinaSchool of Architecture,Tsinghua University,Beijing 100084,ChinaSchool of Architecture,Tsinghua University,Beijing 100084,China
Tibetan-Qiang regionRandom forest modelYOLOv10Traditional villagesPreservation
Tibetan-Qiang regionRandom forest modelYOLOv10Traditional villagesPreservation
《建筑学研究前沿(英文版)》 2026 (2)
353-369,17
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