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Proceedings Paper

Multipixel anomaly detection in noisy multispectral images
Author(s): Eran Ohel; Stanley R. Rotman; Dan G. Blumberg
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Paper Abstract

Basing ourselves on a novel segmentation algorithm for multi-spectral images, we have considered how to detect multi-pixel anomalous objects in image cubes with a spectral component. In particular, we have developed several filters to compensate for noise which may be present in the initial cube. We show that for speckle noise, a modification of our morphology technique allows us to detect targets without an enhanced false alarm result.

Paper Details

Date Published: 15 October 2004
PDF: 10 pages
Proc. SPIE 5546, Imaging Spectrometry X, (15 October 2004); doi: 10.1117/12.557627
Show Author Affiliations
Eran Ohel, Ben-Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)
Dan G. Blumberg, Ben-Gurion Univ. of the Negev (Israel)


Published in SPIE Proceedings Vol. 5546:
Imaging Spectrometry X
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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