Theoretical and experimental study on image noise reduction for improving camera-based fire detection performance in thermal environments-Reference-Cited by-同舟云学术

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Theoretical and experimental study on image noise reduction for improving camera-based fire detection performance in thermal environments

Published:2022-11-22 Issue:3 Volume:148 Page:1191-1199
ISSN:1388-6150
Container-title:Journal of Thermal Analysis and Calorimetry
language:en
Short-container-title:J Therm Anal Calorim

Author:

Chen Ming,Chen Kexin,Liu Chunxiang,Huang Ping,Yu Longxing^ORCID

Funder

National Natural Science Foundation of China

Opening Funds of State Key Laboratory of Fire Sciences

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s10973-022-11794-7.pdf

Reference24 articles.

1. Smoker K, Albinger R, Asme. Mitigation of fires in coal-handling facilities: continuous monitoring of carbon monoxide. In: ASME Power conference 2010. Chicago, IL, New York: Amer Soc Mechanical Engineers; 2010. p. 13–15

2. Zhang QJ, Xu JL, Xu L, Guo HF. Deep convolutional neural networks for forest fire detection. In: International forum on management, education and information technology application (IFMEITA). Guangzhou, Paris: Atlantis Press; 2016. p. 30–31

3. Li Y, Wang H, Bai K, Chen S. Dynamic intelligent risk assessment of hazardous chemical warehouse fire based on electrostatic discharge method and improved support vector machine. Process Saf Environ Prot. 2021;145:425–34. https://doi.org/10.1016/j.psep.2020.11.012.

4. Martinka J, Nečas A, Rantuch P. The recognition of selected burning liquids by convolutional neural networks under laboratory conditions. J Therm Anal Calorim. 2022;147(10):5787–99. https://doi.org/10.1007/s10973-021-10903-2.

5. Wu H, Wu D, Zhao J. An intelligent fire detection approach through cameras based on computer vision methods. Process Saf Environ Prot. 2019;127:245–56. https://doi.org/10.1016/j.psep.2019.05.016.

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