Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images. (arXiv:2111.11397v3 [cs.CV] UPDATED)

Estimating the solar rooftop potential of buildings' rooftops at a large
scale is a fundamental step for every country to utilize its solar power
efficiently. However, such estimation becomes time-consuming and costly if done
through on-site measurements. This paper uses deep learning-based multi-class
instance segmentation to extract buildings' footprints from satellite images.
Hence, we introduce Lebanon's first complete and comprehensive buildings'
footprints map. Furthermore, we propose a photovoltaic panels placement
algorithm to estimate the solar potential of every rooftop, which …

arxiv buildings cv images segmentation solar