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Proceedings Article

Emissivity retrieval from indoor hyperspectral imaging of mineral grains

[+] Author Affiliations
Bardia Yousefi, Saeed Sojasi, Clemente Ibarra Castanedo, François Huot, Xavier P. V. Maldague, Erik Lalonde

Univ. Laval (Canada)

Georges Beaudoin

Univ. Laval (Canada)

Martin Chamberland

Telops, Inc. (Canada)

Proc. SPIE 9861, Thermosense: Thermal Infrared Applications XXXVIII, 98611C (May 11, 2016); doi:10.1117/12.2224379
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From Conference Volume 9861

  • Thermosense: Thermal Infrared Applications XXXVIII
  • Joseph N. Zalameda; Paolo Bison
  • Baltimore, Maryland, United States | April 17, 2016

abstract

The proposed approach addresses the problem of retrieving the emissivity of hyperspectral data in the spectroscopic imageries from indoor experiments. This methodology was tested on experimental data that have been recorded with hyperspectral images working in visible/near infrared and long-wave infrared bands. The proposed technique provides a framework for computing down-welling spectral radiance applying non-negative matrix factorization (NMF) analysis. It provides the necessary means for the non-uniform correction of active thermographical experiments. The obtained results indicate promising accuracy. In addition, the application of the proposed technique is not limited to non-uniform heating spectroscopy but to uniform spectroscopy as well. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Bardia Yousefi ; Saeed Sojasi ; Clemente Ibarra Castanedo ; Georges Beaudoin ; François Huot, et al.
" Emissivity retrieval from indoor hyperspectral imaging of mineral grains ", Proc. SPIE 9861, Thermosense: Thermal Infrared Applications XXXVIII, 98611C (May 11, 2016); doi:10.1117/12.2224379; http://dx.doi.org/10.1117/12.2224379


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