Publication Type:

Book Chapter

Authors:

Feng, J.; Rivard, B.; Gallie, A.; Cloutis, E.

Source:

WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, August 26, 2009 - August 28, 2009, IEEE Computer Society, Grenoble, France, p.ANR; et al.; INRIA; Laboratoire de Planetologie; Laboratoire Jean Kuntzmann; Taylor and Francis (2009)

Keywords:

Bituminous materials, Image processing, minerals, Oil sands, Ore treatment, Reflection, remote sensing, Sand, spectroscopy, Wavelet analysis

Abstract:

The estimation of bitumen content in oil sands in feed stock is critical to improve the processability of ore and for effective bitumen extraction. Broad band reflectance spectroscopy has the potential to achieve this goal in a nondestructive manner but spectral variability is known to be influenced by the water content and mineralogy of oil sands. This study addresses these issues and defines spectral features sensitive to bitumen and water content using wavelet analysis. A reliable model is then established to predict bitumen content based on spectral indices that minimize the influence of these factors. 2009 IEEE.

Notes:

Compilation and indexing terms, Copyright 2018 Elsevier Inc.<br/>20095212569398<br/>Athabasca oil sands<br/>Bitumen extraction<br/>Broad bands<br/>Hyperspectral Data<br/>Infrared reflectance spectra<br/>Reflectance spectroscopy<br/>Spectral feature<br/>Spectral variability