scholarly journals Nonlinear spectral mixing: Quantitative analysis of laboratory mineral mixtures

2004 ◽  
Vol 109 (E2) ◽  
pp. n/a-n/a ◽  
Author(s):  
F. Poulet ◽  
S. Erard
Keyword(s):  
Quantitative Analysis ◽  
Mineral Mixtures ◽  
Spectral Mixing

scholarly journals Quantitative Analysis of Phases in Zeolite Bearing Rocks from Full X-ray Diffraction Profiles

1988 ◽  
Vol 41 (2) ◽  
pp. 323 ◽  
Author(s):  
JC Taylor ◽  
SR Pecover
Keyword(s):  
Quantitative Analysis ◽  
Epoxy Resin ◽  
Preferred Orientation ◽  
X Ray Diffraction ◽  
X Ray ◽  
Field Samples ◽  
Al Powder ◽  
Mineral Mixtures

It is shown that quantitative analysis of zeolite phases in mineral mixtures can be performed using calculated whole-pattern X-ray diffraction profiles and Bragg-Brentano patterns. The method was tested on binary and ternary standard mixtures containing quartz, heulandite, chabazite and stellerite, and gave zeolite weight percentages correct to within a few per cent. Structure analyses of the zeolites were necessary to obtain good calculated profiles. The platy zeolites heulimdite and stellerite had severe preferred orientation problems, which were minimised experimentally by adding Al powder diluent and an epoxy resin, and regrinding. Analyses of field samples are also described.

Quantitative Analysis of Clay Mineral Mixtures by X-ray Diffraction

Nature ◽  
1964 ◽  
Vol 204 (4964) ◽  
pp. 1228-1230 ◽  
Author(s):  
A. A. THEISEN ◽  
E. BELLIS
Keyword(s):  
Quantitative Analysis ◽  
Clay Mineral ◽  
X Ray Diffraction ◽  
X Ray ◽  
Mineral Mixtures

scholarly journals STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE

2018 ◽  
Vol XLII-3 ◽  
pp. 2359-2363
Author(s):  
H. Zhao ◽  
Y. Hao ◽  
X. Liu ◽  
M. Hou ◽  
X. Zhao
Keyword(s):  
Remote Sensing ◽  
Quantitative Analysis ◽  
Hyperspectral Remote Sensing ◽  
Least Square ◽  
Experimental Results ◽  
Non Invasive ◽  
Linear Unmixing ◽  
Nonlinear Mixing ◽  
Spectral Mixing ◽  
Mixed Samples

Hyperspectral remote sensing is a completely non-invasive technology for measurement of cultural relics, and has been successfully applied in identification and analysis of pigments of Chinese historical paintings. Although the phenomenon of mixing pigments is very usual in Chinese historical paintings, the quantitative analysis of the mixing pigments in the ancient paintings is still unsolved. In this research, we took two typical mineral pigments, vermilion and stone yellow as example, made precisely mixed samples using these two kinds of pigments, and measured their spectra in the laboratory. For the mixing spectra, both fully constrained least square (FCLS) method and derivative of ratio spectroscopy (DRS) were performed. Experimental results showed that the mixing spectra of vermilion and stone yellow had strong nonlinear mixing characteristics, but at some bands linear unmixing could also achieve satisfactory results. DRS using strong linear bands can reach much higher accuracy than that of FCLS using full bands.

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