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Acta Optica Sinica, Volume. 39, Issue 10, 1012002(2019)

Regularization Priori Based Fast ARTTV Algorithm and Its Reconstruction Performance Analysis During Flame Radiation Measurement

Mingjie Li1,2 and Zhu He1,2、*
Author Affiliations
  • 1State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, Hubei 430081, China
  • 2College of Material and Metallurgy, Wuhan University of Science and Technology, Wuhan, Hubei 430081, China
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    Figures & Tables(7)
    Diagram of radiation projection reconstruction

    Fig. 1. Diagram of radiation projection reconstruction

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    Distributions of original Gaussian bimodal radiation source. (a) 3D space-intensity display; (b) 2D space-ribbon intensity display

    Fig. 2. Distributions of original Gaussian bimodal radiation source. (a) 3D space-intensity display; (b) 2D space-ribbon intensity display

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    Radiation intensity of original three-peak target flame

    Fig. 3. Radiation intensity of original three-peak target flame

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    Reconstruction results of different symmetry single-peak flames at different fault heights for different algorithms. (a) H=25 mm; (b) H=35 mm; (c) H=45 mm

    Fig. 4. Reconstruction results of different symmetry single-peak flames at different fault heights for different algorithms. (a) H=25 mm; (b) H=35 mm; (c) H=45 mm

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    Reconstruction results of Gaussian bimodal radiation intensity distributions for different algorithms. (a) ARTTV-PSO; (b) LSQR; (c) regularization algorithm

    Fig. 5. Reconstruction results of Gaussian bimodal radiation intensity distributions for different algorithms. (a) ARTTV-PSO; (b) LSQR; (c) regularization algorithm

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    Reconstruction results of three-peak radiation intensity distributions obtained by different algorithms. (a) LSQR; (b) regularization algorithm; (c) ARTTV-PSO

    Fig. 6. Reconstruction results of three-peak radiation intensity distributions obtained by different algorithms. (a) LSQR; (b) regularization algorithm; (c) ARTTV-PSO

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    Reconstruction results of bimodal radiation intensity distributions of ELM neural network. (a) Test flame 1; (b) test flame 2

    Fig. 7. Reconstruction results of bimodal radiation intensity distributions of ELM neural network. (a) Test flame 1; (b) test flame 2

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    Mingjie Li, Zhu He. Regularization Priori Based Fast ARTTV Algorithm and Its Reconstruction Performance Analysis During Flame Radiation Measurement[J]. Acta Optica Sinica, 2019, 39(10): 1012002

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Mar. 6, 2019

    Accepted: Jun. 21, 2019

    Published Online: Oct. 9, 2019

    The Author Email: He Zhu (hezhu@wust.edu.cn)

    DOI:10.3788/AOS201939.1012002

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology