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    IJHPCA
    2008
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    Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
    13 years 5 months ago
    Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
    Download  www.ece.msstate.edu
    Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
    Qian Du, James E. Fowler
    claim paper
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