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Proceedings Paper

Adaptive spectroscopy: towards adaptive spectral imaging
Author(s): M. E. Gehm; J. Kinast
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Paper Abstract

Spectral imaging is an emerging tool for defense and security applications because it provides compositional information about the objects in a scene. The underlying task-measuring a 3-D dataset using a 2-D detector array-is challenging, and straightforward approaches to the problem can result in severe performance tradeoffs. While a number of ingenious (non-adaptive) solutions have been proposed that minimize these tradeoffs, the complexity of the sensing task suggests that adaptive approaches to spectral imaging are worth considering. As a first step towards this goal, we investigate adaptive spectroscopy and present initial results confirming dramatic cost/performance gains for a particular implementation.

Paper Details

Date Published: 1 April 2008
PDF: 11 pages
Proc. SPIE 6978, Visual Information Processing XVII, 69780I (1 April 2008); doi: 10.1117/12.779174
Show Author Affiliations
M. E. Gehm, Univ. of Arizona (United States)
J. Kinast, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 6978:
Visual Information Processing XVII
Zia-ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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