Share Email Print
cover

Proceedings Paper

Modified algorithm for mineral identification in LWIR hyperspectral imagery
Author(s): Bardia Yousefi; Saeed Sojasi; Kévin Liaigre; Clemente Ibarra Castanedo; Georges Beaudoin; François Huot; Xavier P. V. Maldague; Martin Chamberland
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The applications of hyperspectral infrared imagery in the different fields of research are significant and growing. It is mainly used in remote sensing for target detection, vegetation detection, urban area categorization, astronomy and geological applications. The geological applications of this technology mainly consist in mineral identification using in airborne or satellite imagery. We address a quantitative and qualitative assessment of mineral identification in the laboratory conditions. We strive to identify nine different mineral grains (Biotite, Diopside, Epidote, Goethite, Kyanite, Scheelite, Smithsonite, Tourmaline, Quartz). A hyperspectral camera in the Long Wave Infrared (LWIR, 7.7-11.8 ) with a LW-macro lens providing a spatial resolution of 100 μm, an infragold plate, and a heating source are the instruments used in the experiment. The proposed algorithm clusters all the pixel-spectra in different categories. Then the best representatives of each cluster are chosen and compared with the ASTER spectral library of JPL/NASA through spectral comparison techniques, such as Spectral angle mapper (SAM) and Normalized Cross Correlation (NCC). The results of the algorithm indicate significant computational efficiency (more than 20 times faster) as compared to previous algorithms and have shown a promising performance for mineral identification.

Paper Details

Date Published: 5 May 2017
PDF: 7 pages
Proc. SPIE 10214, Thermosense: Thermal Infrared Applications XXXIX, 102141H (5 May 2017); doi: 10.1117/12.2263090
Show Author Affiliations
Bardia Yousefi, Univ. Laval (Canada)
Saeed Sojasi, Univ. Laval (Canada)
Kévin Liaigre, Univ. Laval (Canada)
Clemente Ibarra Castanedo, Univ. Laval (Canada)
Georges Beaudoin, Univ. Laval (Canada)
François Huot, Univ. Laval (Canada)
Xavier P. V. Maldague, Univ. Laval (Canada)
Martin Chamberland, Telops Inc. (Canada)


Published in SPIE Proceedings Vol. 10214:
Thermosense: Thermal Infrared Applications XXXIX
Paolo Bison; Douglas Burleigh, Editor(s)

© SPIE. Terms of Use
Back to Top