Reflectance Spectrum Based Classification of Ore

The visible and near infrared reflectance spectra of rock samples from a zinc-copper mine are analyzed by data-based multivariate methods. The effect of data preprocessing to the feature extraction of the spectra is discussed. Based on the measurement data, a classification model is developed to automatically separate gangue rocks from ore. The model is detected to classify rock samples with good accuracy and robustness.