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- W2390168762 abstract "The laser with the wavelength of 355nm irradiates to the sea surface, and excites the fluorescence spectrums of oils spilled on the sea surface.The segmented principal component analysis(PCA) algorithm widely used in the dimensionality reduction of hyper spectral image, was usedto band selection accordingtooil fluorescence spectrums.This algorithm regards the amount of the information that is mappen into the principal components of a given band as the selected criterion, it can ensure that the selected bands contain most information of the original data.With the segmentation on original data, it can eliminate the problem of band neglect which was caused by global transform in traditional PCA algorithm.And the result of dimensionality reduction is advisable." @default.
- W2390168762 created "2016-06-24" @default.
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- W2390168762 date "2009-01-01" @default.
- W2390168762 modified "2023-09-23" @default.
- W2390168762 title "Application of the PCA Method to Band Selection for Oil Fluorescence Spectrums" @default.
- W2390168762 hasPublicationYear "2009" @default.
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