Principle of automatic recognition of photovoltaic panel images

We use deep learning methods for automated detection of solar panel locations and their surface area using aerial imagery. The framework, which consists of a two-branch model using an image classifier in tandem with a semantic segmentation model, is trained on our created dataset of. . The detection of photovoltaic panels from images is an important field, as it leverages the possibility of forecasting and planning green energy production by assessing the level of energy autonomy for communities. Then, we conductedaliteraturereviewtoexploreexistingapproaches to similar tasks and their. . In this paper we focus on creating a world map of solar panels. [pdf]