An algorithm for computing partial pixel in hyperspectral imaging camera calibration

Edisanter Lo; Augustus W. Fountain

doi:10.1117/12.669861

4 May 2006 An algorithm for computing partial pixel in hyperspectral imaging camera calibration

Edisanter Lo, Augustus W. Fountain

Proceedings Volume 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII; 623317 (2006) https://doi.org/10.1117/12.669861
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

Edisanter Lo and Augustus W. Fountain "An algorithm for computing partial pixel in hyperspectral imaging camera calibration", Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 623317 (4 May 2006); https://doi.org/10.1117/12.669861

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