基于红外反射光谱的阿萨巴斯卡油砂特征选择及宽带沥青含量估算

2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI:10.1109/WHISPERS.2009.5289042

Jilu Feng, B. Rivard, A. Gallie, E. Cloutis

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引用次数: 5

摘要

油砂原料中沥青含量的测定对提高矿石的可加工性和有效提取沥青具有重要意义。宽频带反射光谱学有可能以一种非破坏性的方式实现这一目标，但众所周知，光谱变化会受到油砂含水量和矿物学的影响。本研究解决了这些问题，并使用小波分析定义了对沥青和含水量敏感的光谱特征。然后建立一个可靠的模型，根据光谱指数来预测沥青含量，从而最大限度地减少这些因素的影响。

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Feature selection and broad band bitumen content estimation of Athabasca oil sand from infrared reflectance spectra

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 non-destructive 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.

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2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

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