Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 5, 543(2024)
Infrared image denoising method for gas leakage based on transfer learning
[1] Narkhede P, Walambe R, Mandaokar S et al. Gas detection and identification using multimodal artificial intelligence based sensor fusion[J]. Applied System Innovation, 4, 3(2021).
[2] Wu H B, Kong L L. Temperature safty monitoring of ethylene cracking furnace tube based on infrared imaging technology[J]. Journal of Atmospheric and Environmental Optics, 10, 46-50(2015).
[3] Jadin M S, Ghazali K H. Gas leakage detection using thermal imaging technique[C], 302-306(2014).
[4] Cardone D, Merla A. New frontiers for applications of thermal infrared imaging devices: Computational psychopshysiology in the neurosciences[J]. Sensors, 17, 1042(2017).
[5] Chi X M, Xiao A S, Zhu L et al. Research progress of infrared imaging detection technology for gas leakage in petrochemical enterprises[J]. Safety Health & Environment, 21, 1-5(2021).
[6] Li F Z, Zhao Y H, Xiang W et al. Infrared image mixed noise removal method based on improved NL-means[J]. Infrared and Laser Engineering, 48, 163-173(2019).
[7] Lin C L, Kuo C W, Lai C C et al. A novel approach to fast noise reduction of infrared image[J]. Infrared Physics & Technology, 54, 1-9(2011).
[8] Wang J, Zhou Y K, Hu J C et al. Infrared image denoising algorithm based on a rough set approach[J]. Infrared Technology, 43, 44-50(2021).
[9] Chen X, Liu L, Zhang J Z et al. Infrared image denoising based on the variance-stabilizing transform and the dual-domain filter[J]. Digital Signal Processing, 113, 103012(2021).
[10] Yu B B. An improved infrared image processing method based on adaptive threshold denoising[J]. EURASIP Journal on Image and Video Processing, 2019, 5(2019).
[11] Wang E D, Jiang P, Li X P et al. Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering[J]. Journal of the European Optical Society-Rapid Publications, 16, 1(2020).
[12] Kuang X D, Sui X B, Liu Y et al. Single infrared image enhancement using a deep convolutional neural network[J]. Neurocomputing, 332, 119-128(2019).
[13] Sun C, Pan M Q, Zhou B et al. Infrared image denoising based on convolutional neural network[C], 499-502(2018).
[14] Jian X Z, Lv C, Wang R Z. Nonuniformity correction of single infrared images based on deep filter neural network[J]. Symmetry, 10, 612(2018).
[15] Li J X, Zhao P, Fang W et al. Cloud detection of Multi-Angle remote sensing image based on deep learning[J]. Journal of Atmospheric and Environmental Optics, 15, 380-392(2020).
[16] Li W P, Yang X G, Li C X et al. An improved semi-supervised transfer learning method for infrared object detection neural network[J]. Infrared and Laser Engineering, 50, 20200511(2021).
[17] Pathak Y, Shukla P K, Tiwari A et al. Deep transfer learning-based classification model for COVID-19 disease[J]. IRBM, 43, 87-92(2020).
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Yu SA, Shilei ZHANG, Mei TAN, Yinghu ZHANG, Yunpeng YANG, Xiangyun MA, Qifeng LI. Infrared image denoising method for gas leakage based on transfer learning[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(5): 543
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Received: Jul. 8, 2022
Accepted: --
Published Online: Jan. 8, 2025
The Author Email: Xiangyun MA (mxy1994@tju.edu.cn), Qifeng LI (qfli@tju.edu.cn)