Data-driven algorithm for temperature predictions and corrections from low-resolution thermal images at fire scenes

An accurate and efficient temperature measurement at fire scenes is crucial for structural safety predictions and fire emergency responses. The application of thermal images provides advantages of spatial and stable measurements over thermocouples. A data-driven algorithmic system for temperature me...

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Veröffentlicht in:	Expert systems with applications Jg. 282; S. 127771
Hauptverfasser:	Dong, Yichuan, Jiang, Jian, Chen, Wei, Ye, Jihong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 05.07.2025
Schlagworte:	CFNN Data-driven Super-resolution thermal image Temperature correction Temperature prediction Temperature prediction Data-driven Super-resolution thermal image Temperature correction CFNN
ISSN:	0957-4174
Online-Zugang:	Volltext
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