AUTOMATED IDENTIFICATION OF ROOFTOP SOLAR POWER PLANTS USING LARGE MULTIMODAL MODELS UNDER LIMITED VISUAL INFORMATION

• Datum: 2026
• Hauptverfasser: Shapovalova , S., Matіakh , S., Holovakin , M.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Institute of Renewable Energy National Academy of Sciences of Ukraine 2026
• Schlagworte: aerial photograph; satellite image; solar panels; object detection in images; LLM; GPT; spatial resolution of aerial photographs; energy infrastructure.
• Online Zugang: https://ve.org.ua/index.php/journal/article/view/604
• Назва журналу: Vidnovluvana energetika

A method for detecting rooftop photovoltaic systems in satellite and aerial imagery under degraded spatial resolution is proposed. Object detection is based on solving an image classification task using a large language model to reduce computational load and accelerate the identification process. Th...