TY - JOUR
T1 - Development of panoramic infrared images for surface temperature analysis of buildings and infrastructures
AU - Chen, Ling
AU - Wang, Yuhong
AU - Jia, Siqi
AU - Francis Siu, Ming Fung
N1 - Funding Information:
This paper is based on the research project (E-PolyU502/16) funded by the Research Grant Council (RGC) of Hong Kong Special Administrative Region Government. The research is part of the study entitled Urban Nature Labs (UNaLab), funded by the European Commission (EC)?s Horizon 2020 Research Scheme, Hong Kong RGC and other research partners.
Funding Information:
This paper is based on the research project (E-PolyU502/16) funded by the Research Grant Council (RGC) of Hong Kong Special Administrative Region Government. The research is part of the study entitled Urban Nature Labs (UNaLab), funded by the European Commission (EC)’s Horizon 2020 Research Scheme, Hong Kong RGC and other research partners.
Publisher Copyright:
© 2020 Elsevier B.V.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - The surface temperature distribution of buildings and infrastructures is a key piece of information in the analysis of built environments especially in urban areas. It not only helps understand and model the thermal performance of buildings, but also reveal the thermal environments exposed by pedestrians. The information may further help improve the energy efficiency of buildings and reduce the urban heat island (UHI) effect. However, effective methods are currently lacking to visualize and analyze the overall surface temperature of buildings and urban infrastructures in a large scale. To cover this gap, a systematic approach is developed in this study to generate panoramic infrared images. The approach includes: (1) use of a ground-based imaging system to capture visual and infrared images, (2) development of spatial transformation models between the visual and infrared images using intensity-based image registration method, (3) creation of the panoramic visual image and fusion of the panoramic visual and infrared images, (4) geometrical transformation of the panoramic images with a modified cylindrical projection method. Three cases are used to illustrate the potential applications of the approach in the analysis of building surfaces. The cases indicate that the methods can effectively reveal the temporal and spatial temperature variations of large building surfaces, providing insights on the effects of cladding materials on surface temperature.
AB - The surface temperature distribution of buildings and infrastructures is a key piece of information in the analysis of built environments especially in urban areas. It not only helps understand and model the thermal performance of buildings, but also reveal the thermal environments exposed by pedestrians. The information may further help improve the energy efficiency of buildings and reduce the urban heat island (UHI) effect. However, effective methods are currently lacking to visualize and analyze the overall surface temperature of buildings and urban infrastructures in a large scale. To cover this gap, a systematic approach is developed in this study to generate panoramic infrared images. The approach includes: (1) use of a ground-based imaging system to capture visual and infrared images, (2) development of spatial transformation models between the visual and infrared images using intensity-based image registration method, (3) creation of the panoramic visual image and fusion of the panoramic visual and infrared images, (4) geometrical transformation of the panoramic images with a modified cylindrical projection method. Three cases are used to illustrate the potential applications of the approach in the analysis of building surfaces. The cases indicate that the methods can effectively reveal the temporal and spatial temperature variations of large building surfaces, providing insights on the effects of cladding materials on surface temperature.
KW - Building design
KW - Cylindrical projection
KW - Panoramic infrared image
KW - Surface temperature
KW - Visual and infrared image fusion
UR - http://www.scopus.com/inward/record.url?scp=85098082802&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2020.110660
DO - 10.1016/j.enbuild.2020.110660
M3 - Journal article
AN - SCOPUS:85098082802
SN - 0378-7788
VL - 232
JO - Energy and Buildings
JF - Energy and Buildings
M1 - 110660
ER -
