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Proceedings Paper

Construction of filter vectors for the information-efficient spectral imaging sensor
Author(s): Brian R. Stallard; Stephen M. Gentry
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Paper Abstract

The information-efficient spectral imaging sensor (ISIS) seeks to improve system performance by processing hyperspectral information in the optical hardware. Its output may be a gray scale image in which one attempts to maximize the contrast between a given target and the background. Alternatively, its output may be a small number of images, rather than a full data cube, that retain the essential information required in the application. The principal advantages of ISIS is that it offers the discrimination of hyperspectral imaging while achieving the signal-to-noise ratio of multispectral imaging. The paper focuses on construction of the filter vectors that are needed to program ISIS. The instrument produces an image which is essentially a dot product of the scene and the filter vector. Both single vector and multiple vector approaches are considered. Also, we discuss some subtle points related to optimizing the filter vectors.

Paper Details

Date Published: 16 October 1998
PDF: 11 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); doi: 10.1117/12.328100
Show Author Affiliations
Brian R. Stallard, Sandia National Labs. (United States)
Stephen M. Gentry, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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