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Optical Engineering

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 multispectral images, we consider how to detect multipixel anomalous objects in image cubes where spectral information is available. In particular, we have developed several morphological filters to compensate for noise that may be present in the initial cube. We show that for different types of noise (Gaussian and speckle), a modification of our morphology technique allows us to better detect targets without an enhanced false-alarm result.

Paper Details

Date Published: 1 February 2006
PDF: 8 pages
Opt. Eng. 45(2) 023604 doi: 10.1117/1.2166639
Published in: Optical Engineering Volume 45, Issue 2
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)

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