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Proceedings Paper

An algorithm for computing partial pixel in hyperspectral imaging camera calibration
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Paper Abstract

An algorithm to determine the abscissa of the partial pixels that corresponds to the peaks of an absorbance spectrum from a hyperspectral imaging camera will be described. The algorithm is based on local linear regression models in variable order and variable sample size mode. The sample size is determined by using the estimated critical points and inflection points. The order is determined by statistically comparing the sum of squares error of the regression models for different orders. Numerical results on spectra from a hyperspectral cube will be presented.

Paper Details

Date Published: 4 May 2006
PDF: 9 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 623317 (4 May 2006); doi: 10.1117/12.669861
Show Author Affiliations
Edisanter Lo, Susquehanna Univ. (United States)
Augustus W. Fountain, U.S. Military Academy (United States)


Published in SPIE Proceedings Vol. 6233:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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