@article {Zhang:2002-01-01T00:00:00:0003-7028:91,
author = "Zhang, Dongmao and Ben-Amotz, Dor",
title = "Removal of Cosmic Spikes from Hyper-spectral Images Using a Hybrid Upper-Bound Spectrum Method ",
journal = "Applied Spectroscopy",
volume = "56",
number = "1",
year = "2002-01-01T00:00:00",
abstract = "A hybrid of the upper-bound spectrum (UBS), principle component analysis (PCA), and median filter (MF) algorithms is used to efficiently remove cosmic spike spectral artifacts from hyper-spectral data matrices
(DM). The resulting UBS-DM method is shown to introduce less spectral distortion than the widely used MF cosmic spike suppression algorithm alone. The new method relies on a truncated series of PCA eigenvectors
to produce an upper-bound spectrum, which is in turn used to detect and remove cosmic spikes. The PCA eigenvectors are separated into three groups, each of which is treated in a different manner. The first
group of eigenvectors, which contain most of the spectral correlation of interest, are not preprocessed prior to applying the UBS-DM method. The second group, which are more severely contaminated by cosmic
spikes (but may also contain important spectral correlations), are MF preprocessed before applying UBS. The third group of eigenvectors, which contain virtually no spectral information, are ignored in regenerating
the upper-bound spectra used for spike detection and removal. The UBS-DM algorithm is tested using both synthetic and experimental (iron oxide) Raman hyper-spectral data sets, each containing several thousand
spectra, with about 1000 wavelength pixels.
",
pages = "91-98",
url = "http://www.ingentaconnect.com/content/sas/sas/2002/00000056/00000001/art00014",
doi = "doi:10.1366/0003702021954269",
keyword = "SPECTRAL IMAGING, GAMMA RAY, COSMIC SPIKE, CCD DETECTOR, HYPER-SPECTRAL IMAGING, RAMAN"
}