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Proceedings Paper

Segmentation and classification with point target detection
Author(s): Yoni Simson; Max Cohen; Stanley R. Rotman
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Paper Abstract

In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.

Paper Details

Date Published: 29 December 2004
PDF: 12 pages
Proc. SPIE 5617, Optically Based Biological and Chemical Sensing for Defence, (29 December 2004); doi: 10.1117/12.572815
Show Author Affiliations
Yoni Simson, Ben-Gurion Univ. of the Negev (Israel)
Max Cohen, Ben-Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 5617:
Optically Based Biological and Chemical Sensing for Defence
John C. Carrano; Arturas Zukauskas, Editor(s)

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