Translator Disclaimer
Paper
11 May 2016 Emissivity retrieval from indoor hyperspectral imaging of mineral grains
Author Affiliations +
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.
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
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
Back to Top