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Proceedings Paper

Multispectra image composition for target detection and recognition
Author(s): George A. Lampropoulos; James F. Boulter
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Paper Abstract

This paper addresses the composition of multispectra images for target detection and recognition. It will provide the reader with tools with which multispectra images may be decomposed and new superimages may be composed to emphasize desired features of targets of interest. The proposed methodology consists of blur and noise estimation and reduction processes in association with registration, decomposition and resolution improvements. Examples from real data are being presented.

Paper Details

Date Published: 19 September 1997
PDF: 12 pages
Proc. SPIE 3119, Multispectral Imaging for Terrestrial Applications II, (19 September 1997); doi: 10.1117/12.285552
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
James F. Boulter, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 3119:
Multispectral Imaging for Terrestrial Applications II
Joan B. Lurie; Thomas Delaney, Editor(s)

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