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Proceedings Paper

An algorithm for wavelength calibration in hyperspectral imaging camera
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Paper Abstract

The wavelength of the spectral bands of a pixel from a hyperspectral imaging camera is not automatically known. A simple linear regression model can be fitted to the known abscissa and the corresponding known wavelength to acquire a calibration equation to determine the wavelength for any given abscissa. In our experiment the pixels show significant trend and serial correlation mainly in one of the spatial domain. An algorithm to remove the trend and serial correlation from the pixels using local linear regression model will be presented. Numerical results will be presented to show the improvement in the accuracy of the calibration equation computed using the corrected pixels.

Paper Details

Date Published: 4 May 2006
PDF: 9 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62330L (4 May 2006); doi: 10.1117/12.673576
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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