Multipixel anomaly detection in noisy multispectral images

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

doi:10.1117/12.557627

15 October 2004 Multipixel anomaly detection in noisy multispectral images

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

Author Affiliations +

Proceedings Volume 5546, Imaging Spectrometry X; (2004) https://doi.org/10.1117/12.557627
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

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.

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Eran Ohel, Stanley R. Rotman, and Dan G. Blumberg "Multipixel anomaly detection in noisy multispectral images", Proc. SPIE 5546, Imaging Spectrometry X, (15 October 2004); https://doi.org/10.1117/12.557627

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