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Principal Component Analysis (PCA) is a statistical technique widely used in remote sensing and digital image processing to reduce the dimensionality of large datasets while retaining most of the important information. In remote sensing, satellite and aerial images often contain multiple spectral bands, leading to high data volume and redundancy. PCA helps in transforming these correlated bands into a set of uncorrelated _______ _________ _________ ____ __________ ________ ________ ___ _______.
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