Deep Learning for Rare Energy Infrastructures in Satellite Imagery

We trained an object detection model to locate wind turbines in overhead satellite imagery. Because these deep learning models require large amounts of training data, and satellite imagery of wind turbines is rare and expensive to collect, we created synthetic satellite imagery using 3D modeling software. We then supplemented our real-world training dataset with the synthetic imagery and observed changes in performance.