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Nonlinear principal component analysis for compression of spectral data
Published on Nov 04, 20113957 Views
In this study, the principal component analysis (PCA) technique and its nonlinear version (NLPCA) are employed for the compression and reconstruction of spectral data. The reflectance spectra of 1269
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Chapter list
Nonlinear Principal Component Analysis for Compression of Spectral Data00:00
Main Topics00:16
Introduction - 100:52
Introduction - 201:34
Introduction - 302:14
Introduction - 402:20
PCA - 102:34
PCA - 202:58
NLPCA - 103:39
NLPCA - 204:02
Dataset04:37
Metrics05:27
RMS05:43
GFC - 106:38
GFC - 207:12
GFC - 307:26
GFC - 407:34
ΔE08:09
Conclusion08:23
Thanks for your attention08:39