建筑学研究前沿(英文版)2026,Vol.15Issue(2):353-369,17.DOI:10.1016/j.foar.2025.05.007
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
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 1Peng Liu 2Chen Gao 3Rui Hou 1Zining Huang 1Yuxin Ao 1Yi Wang1
作者信息
- 1. School of Architecture,Tsinghua University,Beijing 100084,China
- 2. The Export-import Bank of China,Beijing 100031,China
- 3. Leibniz Institute for Research on Society and Space(IRS),15537 Erkner,Germany||Geography Department,Humboldt-Universität zu Berlin,12489 Berlin,Germany
- 折叠
摘要
关键词
Tibetan-Qiang region/Random forest model/YOLOv10/Traditional villages/PreservationKey words
Tibetan-Qiang region/Random forest model/YOLOv10/Traditional villages/Preservation引用本文复制引用
Xiaoyi Zu,Peng Liu,Chen Gao,Rui Hou,Zining Huang,Yuxin Ao,Yi Wang..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[J].建筑学研究前沿(英文版),2026,15(2):353-369,17.