Statistical Modeling of Spatial Distortion in Hyperspectral Calibration

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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.

Keywords: HYPERSPECTRAL IMAGING; SPECTRAL CALIBRATION; STATISTICAL MODELING

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/000370208786401626

Affiliations: 1: Department of Mathematical Sciences, Susquehanna University, Selinsgrove, Pennsylvania 17870 2: Edgewood Chemical Biological Center, Aberdeen Proving Grounds, Maryland 21010 3: Photonics Research Center, United States Military Academy, West Point, New York 10996

Publication date: November 1, 2008

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