Physics-Guided Deep Learning and Geospatial Aggregation for Photovoltaic Panel Detection and Duplicate-Free Counting in Unmanned Aerial Vehicle Imagery
Automated inspection of utility-scale photovoltaic plants requires reliable detection and inventory of individual panels from overlapping aerial images. We developed a physics-guided deep learning and geospatial aggregation framework for panel detection and duplicate-free plant-level counting. Scene-targeted augmentati...