SolarDetector: A Transformer-based Neural Network for the Detection and Masking of Solar Panels
Abdulrahman Salama, Abdeltawab Hendawi, Mohamed Ali, Eyhab Al‐Masri, Richard Franklin, Anish Deshpande · 2023
As the global transition towards renewable energy sources accelerates, solar power becomes an increasingly important solution. Identifying and understanding the current distribution of solar panel installations is crucial for future planning and decision-making process. This paper introduces SolarDetector, a transformer-based neural network model, which we developed and fine-tuned for the accurate detection of solar panels. It achieves 91.0% mIoU for the task of masking solar panels on SWISSIMAGE dataset.