Comparison and Usage of Principal Component Analysis ( PCA ) and Noise Adjusted Principal Component ( NAPC ) Analysis or Maximum Noise Fraction ( MNF )

@inproceedings{Ientilucci2003ComparisonAU,
  title={Comparison and Usage of Principal Component Analysis ( PCA ) and Noise Adjusted Principal Component ( NAPC ) Analysis or Maximum Noise Fraction ( MNF )},
  author={Emmett J. Ientilucci},
  year={2003}
}
A detailed theoretical basis on principal components and noise adjusted principal component transforms is presented. Both algorithms are applied to multispectral imagery collected with the (RIT) MISI airborne imaging system. Approaches for reducing both dimensionality and noise contributions are presented. Analysis is made by comparing and contrasting each technique as applied to a specific application area. 

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