title: Statistical modeling of spatial distortion in hyperspectral calibration.
abstract: This paper describes a statistically based efficient algorithm for the laboratory spectral calibration of a low-resolution terrestrial hyperspectral imaging camera operating in the visible range. Didymium oxide is used as a wavelength standard. The observed periodic spatial distortion in the wavelength abscissa of the hypercube is removed automatically through statistical modeling and the calibration of the wavelength abscissa is determined using a numerical method. The performance and cost of this algorithm in removing the spatial distortion are assessed quantitatively.
authors.affiliation: Department of Mathematical Sciences, Susquehanna University, Selinsgrove, Pennsylvania 17870, USA.
authors.forename: Edisanter
authors.initials: E
authors.lastname: Lo
authors.forename: Augustus W
authors.initials: AW
authors.lastname: Fountain
authors.forename: John
authors.initials: J
authors.lastname: Ingram
mesh_terms: D002119:Calcium Carbonate / Q000737:chemistry; D002138:Calibration; D005580:Fossils; D005602:France; D008903:Minerals / Q000737:chemistry; D015233:Models, Statistical; D013053:Spectrophotometry / Q000295:instrumentation / Q000379:methods; D013059:Spectrum Analysis, Raman / Q000379:methods; D013172:Spores, Fungal / Q000737:chemistry
chemical_list: D008903:Minerals; D002119:Calcium Carbonate