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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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