• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 9, 2702 (2022)
Hong-sheng SUN1、*, Xin-gang LIANG1、1;, Wei-gang MA1、1;, Jing GUO2、2; *;, Jia-peng WANG2、2;, Chao QIU2、2;, and Xiao-gang SUN3、3;
Author Affiliations
  • 11. School of Aerospace, Tsinghua University, Beijing 100093, China
  • 22. Beijing Zhenxing Institute of Metrology and Measurement, Beijing 100074, China
  • 33. School of Instrumentation Science and Enginnering, Harbin Institute of Technology, Harbin 150001, China
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    DOI: 10.3964/j.issn.1000-0593(2022)09-2702-07 Cite this Article
    Hong-sheng SUN, Xin-gang LIANG, Wei-gang MA, Jing GUO, Jia-peng WANG, Chao QIU, Xiao-gang SUN. Retrieval of High-Temperature Field Under Strong Diffusive Mist Medium via Multi-Spectral Infrared Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2702 Copy Citation Text show less
    Infrared spectral characteristics of mist particles at typical particle diameters
    Fig. 1. Infrared spectral characteristics of mist particles at typical particle diameters
    Extinction coefficient of mist particles varying with wavelength and particle diameters
    Fig. 2. Extinction coefficient of mist particles varying with wavelength and particle diameters
    Direct spectral transmittance of mist field under different mist particle diameters
    Fig. 3. Direct spectral transmittance of mist field under different mist particle diameters
    Schematic presentation of the three-channel infrared temperature retrieval system
    Fig. 4. Schematic presentation of the three-channel infrared temperature retrieval system
    Schematic presentation of the three channels of the infrared temperature retrieval system
    Fig. 5. Schematic presentation of the three channels of the infrared temperature retrieval system
    Calibration curves of the three-channel infrared temperature retrieval system
    Fig. 6. Calibration curves of the three-channel infrared temperature retrieval system
    Schematic illustration of the near-field radiative transfer model of the high-temperature target under diffusive mist condition
    Fig. 7. Schematic illustration of the near-field radiative transfer model of the high-temperature target under diffusive mist condition
    Calculation process of the retrieval coefficient using statistical regression method
    Fig. 8. Calculation process of the retrieval coefficient using statistical regression method
    Image of the experimental verification device of the temperature retrieval system
    Fig. 9. Image of the experimental verification device of the temperature retrieval system
    Visible and mid-wave infrared images of the high-temperature targets before (a) and after (b, c) the appearance of diffusive mist field
    Fig. 10. Visible and mid-wave infrared images of the high-temperature targets before (a) and after (b, c) the appearance of diffusive mist field
    Infrared images at three designed channels before (a) and after (b) the appearance of diffusive mist field
    Fig. 11. Infrared images at three designed channels before (a) and after (b) the appearance of diffusive mist field
    The brightness temperature data of the high-temperature blackbody under random mist conditions
    Fig. 12. The brightness temperature data of the high-temperature blackbody under random mist conditions
    The corresponding retrieved temperature data of the high-temperature blackbody (a) and the high-temperature graybody (b) under random mist conditions
    Fig. 13. The corresponding retrieved temperature data of the high-temperature blackbody (a) and the high-temperature graybody (b) under random mist conditions
    主要参数指标
    焦距/mm42.8
    视场角/(°)10.9×8.6
    F3.5
    光谱带通中心波长/μm8.8, 10.7, 12.0
    探测器规模320×256
    帧频/Hz30
    温度反演测量范围/℃800~2 400
    Table 1. Main parameter list of the infrared temperature retrieval system
    Hong-sheng SUN, Xin-gang LIANG, Wei-gang MA, Jing GUO, Jia-peng WANG, Chao QIU, Xiao-gang SUN. Retrieval of High-Temperature Field Under Strong Diffusive Mist Medium via Multi-Spectral Infrared Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2702
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