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Proceedings Paper

Automatic recognition of targets from hyperspectra images
Author(s): George A. Lampropoulos; Yifeng Li; James F. Boulter
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Paper Abstract

In this paper, we present the formulation of the problem for recognition of targets from hyperspectra images. It is shown that conventional recognition techniques may be extended to hyperspectra images for the distribution process. It is also shown that the recognition process is directly proportional to the number of multispectra frames that represent each target. For the discrimination process we propose a parametric and a nonparametric process in which both are extensions to Fisher and Fukunaga-Mantock methods respectively. Examples that show the composition of hyperspectra features are presented.

Paper Details

Date Published: 4 December 1998
PDF: 7 pages
Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); doi: 10.1117/12.328677
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
Yifeng Li, A.U.G. Signals Ltd. (Canada)
James F. Boulter, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 3491:
1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications
George A. Lampropoulos; Roger A. Lessard, Editor(s)

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