Emissivity retrieval from indoor hyperspectral imaging of mineral grains

Bardia Yousefi; Saeed Sojasi; Clemente Ibarra Castanedo; Georges Beaudoin; François Huot; Xavier P. V. Maldague; Martin Chamberland; Erik Lalonde

doi:10.1117/12.2224379

11 May 2016 Emissivity retrieval from indoor hyperspectral imaging of mineral grains

Bardia Yousefi, Saeed Sojasi, Clemente Ibarra Castanedo, Georges Beaudoin, François Huot, Xavier P. V. Maldague, Martin Chamberland, Erik Lalonde

Author Affiliations +

Proceedings Volume 9861, Thermosense: Thermal Infrared Applications XXXVIII; 98611C (2016) https://doi.org/10.1117/12.2224379
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

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.

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Bardia Yousefi, Saeed Sojasi, Clemente Ibarra Castanedo, Georges Beaudoin, François Huot, Xavier P. V. Maldague, Martin Chamberland, and Erik Lalonde "Emissivity retrieval from indoor hyperspectral imaging of mineral grains", Proc. SPIE 9861, Thermosense: Thermal Infrared Applications XXXVIII, 98611C (11 May 2016); https://doi.org/10.1117/12.2224379

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