Extraction of energy-influential parameters from building façade images through google street view

Energy modeling is a crucial tool for taking decisions related to the building stock. To achieve this, urban models need information ensure good-quality simulations. Automated image analysis has shown potential in many fields but lacked appear works aiming improve energy analysis. Thus, objective of this study provide methodology extraction window-to-wall ratio from façade images. The proposed includes training semantic segmentation model. Results have that great extracting