Principal component analysis

Principal Component Analysis (PCA) is a statistical technique widely used in remote sensing and digital image processing for data reduction and enhancement. It transforms a set of correlated spectral bands into a new set of uncorrelated variables called principal components. These components __________ _____ ____ _________ __________ ______ __________ ______ ________.
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