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Principal Component Analysis (PCA) is a widely used statistical technique in remote sensing and digital image processing for data reduction and information extraction. Satellite images often contain multiple spectral bands with high correlation, leading to redundancy in data. PCA transforms these correlated bands into a new set ______ ________ ________ ___ ________ _____ ____ _______ _____ _________ _________ ________.
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