Journal Articles2025

Method of UAV-Based Inspection of Photovoltaic Modules Using Thermal and RGB Data Fusion

Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Diana Zahorodnia

Radioelectronic and Computer Systems, Vol. 2025, No. 4, pp. 186-205

Editorial summary

Thermal and RGB images are combined to identify solar-panel defects. The system requests extra views of uncertain anomalies and groups repeated detections into geolocated fault records. Public benchmarks and field inspections test detection quality and agreement with manual counts. Transmitting selected findings reduces the volume of airborne data.

Bibliographic reference

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Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Diana Zahorodnia. "Method of UAV-Based Inspection of Photovoltaic Modules Using Thermal and RGB Data Fusion". Radioelectronic and Computer Systems, Vol. 2025, No. 4, pp. 186-205, 2025. https://doi.org/10.32620/reks.2025.4.13

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