DocumentCode :
1212934
Title :
Quantitative Mineral Assessment of Apatite, Calcite/Dolomite, and Phlogopite Powder Mixtures by Using VSWIR Reflectance
Author :
Kuosmanen, Viljo V. ; Laitinen, L. Jukka
Author_Institution :
Geol. Survey of Finland, Espoo
Volume :
46
Issue :
6
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
1774
Lastpage :
1782
Abstract :
Quantitative assessment of mineral powders made from mono/two-mineral blocks sampled from the Siilinjarvi apatite ore deposit is the target of this paper. The blocks were composed of apatite, calcite/dolomite, and phlogopite. The blocks were powdered and mixed into a set of 21 well-documented mixtures. Their visible to short-wave infrared (VSWIR) reflectance spectra were recorded by using the FieldSpecFR Spectrometer. Linear unconstrained unmixing of the spectra resulted in highly biased estimates in spite of the fact that the mean absolute residual error of the unmixing was very small. The bias, which is actually induced by camouflage between mineral classes, could approximately be removed by a polynomial function. This resulted in unbiased estimates for apatite calcite/dolomite and phlogopite. Best results were obtained when the wavelengths were limited to the SWIR area only. This two-part procedure consisting of the linear unmixing and the camouflage correction gives one more aspect to subpixel classification. Training data are given not only for the classes but also for their interaction. In this paper, the mean absolute residual error of the estimated volumetric fractions of apatite, calcite/dolomite, and phlogopite from the spectra was 1.32%, which is smaller than the result in the previous VSWIR studies concerning the assessment of mineral powders. This reflectance method offers a very quick tool for several mineral-related applications.
Keywords :
minerals; FieldSpecFR Spectrometer; Siilinjarvi apatite ore deposit; apatite; calcite; camouflage correction; dolomite; linear unmixing; mineral powders assessment; phlogopite; polynomial function; residual error; subpixel classification; unbiased estimates; visible-short-wave infrared reflectance spectra; volumetric fractions; Apatite; calcite/dolomite; camouflage correction; materials science and technology; nonlinear spectral unmixing; phlogopite; reflectometry; subpixel classification;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2008.916204
Filename :
4512333
Link To Document :
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