Multi-temporal anomaly detection technique

I. Dayan; S. Maman; D. G. Blumberg; S. Rotman

doi:10.1117/12.2239530

21 October 2016 Multi-temporal anomaly detection technique

I. Dayan, S. Maman, D. G. Blumberg, S. Rotman

Proceedings Volume 9987, Electro-Optical and Infrared Systems: Technology and Applications XIII; 99870G (2016) https://doi.org/10.1117/12.2239530
Event: SPIE Security + Defence, 2016, Edinburgh, United Kingdom

Abstract

In this paper, we present a variation on the LRX (Local RX) algorithm for detecting anomalies in multi-temporal images. Our algorithm assigns a relative weight to the Mahalanobis distance according to the number of times it appears in an image. Standard transitions between pixels are therefore not viewed as anomalous; unusual transitions are assigned proportionally higher weights. Experimental results using our proposed algorithm vs previous algorithms on multitemporal datasets show a significant improvement.

Conference Presentation

Citation Download Citation

I. Dayan, S. Maman, D. G. Blumberg, and S. Rotman "Multi-temporal anomaly detection technique", Proc. SPIE 9987, Electro-Optical and Infrared Systems: Technology and Applications XIII, 99870G (21 October 2016); https://doi.org/10.1117/12.2239530

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