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

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.

Citation Download Citation

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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