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

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...

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Datum:	2026
Автори та афіліації:	S. Shapovalova — National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine S. Matіakh — Institute of Renewable Energy of the National Academy of Sciences of Ukraine, Kyiv, Ukraine M. Holovakin — National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine
Ключові слова:	keywords
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
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Vidnovluvana energetika
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