首页|期刊导航|Environmental Science and Ecotechnology|Urban fabric decoded:High-precision building material identification via deep learning and remote sensing
Urban fabric decoded:High-precision building material identification via deep learning and remote sensing
Kun Sun Qiaoxuan Li Qiance Liu Jinchao Song Menglin Dai Xingjian Qian Srinivasa Raghavendra Bhuvan Gummidi Bailang Yu Felix Creutzig Gang Liu
Environmental Science and Ecotechnology2025,Vol.24Issue(2):P.122-132,11.
Environmental Science and Ecotechnology2025,Vol.24Issue(2):P.122-132,11.DOI:10.1016/j.ese.2025.100538
Urban fabric decoded:High-precision building material identification via deep learning and remote sensing
摘要
关键词
Building material intensity/Built environment/Streetview image/Remote sensing/Deep learning分类
建筑与水利引用本文复制引用
Kun Sun,Qiaoxuan Li,Qiance Liu,Jinchao Song,Menglin Dai,Xingjian Qian,Srinivasa Raghavendra Bhuvan Gummidi,Bailang Yu,Felix Creutzig,Gang Liu..Urban fabric decoded:High-precision building material identification via deep learning and remote sensing[J].Environmental Science and Ecotechnology,2025,24(2):P.122-132,11.基金项目
supported by the National Natural Science Foundation of China(71991484,71991480) (71991484,71991480)
the Fundamental Research Funds for the Central Universities of Peking University,the Independent Research Fund Denmark(iBuildGreen) (iBuildGreen)
the European Union under grant agreement No.101056810(CircEUlar) (CircEUlar)
the China Scholarship Council(202006730004 and 202107940001). (202006730004 and 202107940001)