@inproceedings{aa83489a441f409782ef4dbdb72f8956,
title = "Use of UAV photogrammetry to estimate the solar energy potential of residential buildings in severe cold region",
abstract = "In this paper, a method based on UAV photogrammetry is proposed to estimate the solar energy potential of the building surface. This methodology goes from the acquired aerial images captured by the camera mounted on UAV. 3D model of the urban context in study area was extracted from the aerial images using SFM and MVS algorithms, which could be directly applied to the Ladybug plugin as analysis objects. Estimates of solar radiation are expressed by means of data visualization. The results showed that the UAV photogrammetry could demonstrate the geometry and texture of residential buildings precisely and the solar radiation simulation results showed significant spatial and temporal variations in solar radiation on residential buildings.",
keywords = "3D reconstruction, Residential buildings, Severe cold region, Solar energy potential, UAV photogrammetry",
author = "Yunsong Han and Yongjie Pan and Tianyu Zhao and Chunxing Wang and Cheng Sun",
note = "Publisher Copyright: {\textcopyright} 2019 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.; 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 ; Conference date: 15-04-2019 Through 18-04-2019",
year = "2019",
language = "英语",
series = "Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019",
publisher = "The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)",
pages = "613--622",
editor = "Haeusler, \{Matthias Hank\} and Schnabel, \{Marc Aurel\} and Tomohiro Fukuda",
booktitle = "Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019",
}