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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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Principais autores: Jianxiang Li, Lang Yang, Wei Huang, Feng Ren, Jing Hu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-06-01
Serier:Sensors
Fag:
feature extraction
hypergraph
modulation fusion module
thermal anomaly detection
thermal images
infrared images
Online adgang:https://www.mdpi.com/1424-8220/26/12/3796
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