GHM-DEIM: An Improved DEIM-Based Framework for Subtle and Scale-Variant Thermal Anomaly Detection in Photovoltaic UAV Infrared Imagery

With the increasing demand for low-carbon energy, automated defect detection using unmanned aerial vehicle (UAV)-based thermal inspection has become essential for maintaining the reliability of photovoltaic systems. However, existing methods still suffer from low-contrast thermal imagery, large-scal...

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Hlavní autoři:	Jianxiang Li, Lang Yang, Wei Huang, Feng Ren, Jing Hu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-06-01
Edice:	Sensors
Témata:	feature extraction hypergraph modulation fusion module thermal anomaly detection thermal images infrared images
On-line přístup:	https://www.mdpi.com/1424-8220/26/12/3796
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