Numerical assessment of uncertainty and dynamic range expansion of multispectral image-based pyrometry

Sauer, Vinicius M.; Schoegl, Ingmar

doi:10.1016/j.measurement.2019.04.089

Title: Numerical assessment of uncertainty and dynamic range expansion of multispectral image-based pyrometry

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Abstract

Temperature measurements based on spectral radiation are often limited by prior knowledge of target surface properties and detector sensitivity. Here the present work describes a multispectral pyrometry method for temperature estimation that does not require information on surface emissivity or calibration. Digital camera simulations considering a silicon-based sensor and five bandpass filters are used to create synthetic images of targets. The detector sensitivity is compensated via high dynamic range imaging technique. The effect of natural and detector noise on temperature estimates is assessed via Monte Carlo simulations. Results from a wavelength-independent model (Gray) are compared with those from the Band model (with emissivity varying between constant spectral bands). The effect of detector dynamic range and spectral position of bandpass filters is discussed. Temperatures as low as 520 K are obtained, with an overall uncertainty of the order of 10 K. The proposed method is applicable to temperature measurements using commercial-grade CMOS/CCD cameras.

Authors:

Sauer, Vinicius M. ^[1]; Schoegl, Ingmar ^[1]

Louisiana State University, Baton Rouge, LA (United States)

Publication Date:: Thu May 09 00:00:00 EDT 2019

Research Org.:: Louisiana State Univ., Baton Rouge, LA (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Bioenergy Technologies Office (BETO); USDOE

OSTI Identifier:: 1799410

Alternate Identifier(s):: OSTI ID: 1529034

Grant/Contract Number:: EE0007981

Resource Type:: Accepted Manuscript

Journal Name:: Measurement

Additional Journal Information:: Journal Volume: 145; Journal Issue: C; Journal ID: ISSN 0263-2241

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 42 ENGINEERING; 47 OTHER INSTRUMENTATION; temperature; near-infrared thermometry; multi-wavelength; multi-band; high dynamic range imaging

Citation Formats


                    Sauer, Vinicius M., and Schoegl, Ingmar. Numerical assessment of uncertainty and dynamic range expansion of multispectral image-based pyrometry.  United States: N. p., 2019. 
Web.  doi:10.1016/j.measurement.2019.04.089.

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                    Sauer, Vinicius M., & Schoegl, Ingmar. Numerical assessment of uncertainty and dynamic range expansion of multispectral image-based pyrometry.  United States.  https://doi.org/10.1016/j.measurement.2019.04.089

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                    Sauer, Vinicius M., and Schoegl, Ingmar. Thu .  
"Numerical assessment of uncertainty and dynamic range expansion of multispectral image-based pyrometry".  United States.  https://doi.org/10.1016/j.measurement.2019.04.089.  https://www.osti.gov/servlets/purl/1799410.

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@article{osti_1799410,

  title        = {Numerical assessment of uncertainty and dynamic range expansion of multispectral image-based pyrometry},

  author       = {Sauer, Vinicius M. and Schoegl, Ingmar},

  abstractNote = {Temperature measurements based on spectral radiation are often limited by prior knowledge of target surface properties and detector sensitivity. Here the present work describes a multispectral pyrometry method for temperature estimation that does not require information on surface emissivity or calibration. Digital camera simulations considering a silicon-based sensor and five bandpass filters are used to create synthetic images of targets. The detector sensitivity is compensated via high dynamic range imaging technique. The effect of natural and detector noise on temperature estimates is assessed via Monte Carlo simulations. Results from a wavelength-independent model (Gray) are compared with those from the Band model (with emissivity varying between constant spectral bands). The effect of detector dynamic range and spectral position of bandpass filters is discussed. Temperatures as low as 520 K are obtained, with an overall uncertainty of the order of 10 K. The proposed method is applicable to temperature measurements using commercial-grade CMOS/CCD cameras.},

  doi          = {10.1016/j.measurement.2019.04.089},

  journal      = {Measurement},

  number       = C,

  volume       = 145,

  place        = {United States},

  year         = {Thu May 09 00:00:00 EDT 2019},

  month        = {Thu May 09 00:00:00 EDT 2019}

}

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