Multipixel anomaly detection in noisy multispectral images

Eran Ohel; Stanley R. Rotman; Dan G. Blumberg

doi:10.1117/1.2166639

1 February 2006 Multipixel anomaly detection in noisy multispectral images

Eran Ohel, Stanley R. Rotman, Dan G. Blumberg

Author Affiliations +

Optical Engineering, Vol. 45, Issue 2, 023604 (February 2006). https://doi.org/10.1117/1.2166639

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.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Eran Ohel, Stanley R. Rotman, and Dan G. Blumberg "Multipixel anomaly detection in noisy multispectral images," Optical Engineering 45(2), 023604 (1 February 2006). https://doi.org/10.1117/1.2166639

Published: 1 February 2006

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