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Proceedings Article

Reduction of false alarms caused by background boundaries in real time subspace RX anomaly detection

[+] Author Affiliations
A. V. Kanaev

Global Strategies Group Inc. North America (USA)

E. Allman, J. Murray-Krezan

Naval Research Lab. (USA)

Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 733405 (April 27, 2009); doi:10.1117/12.817838
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From Conference Volume 7334

  • Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV
  • Sylvia S. Shen; Paul E. Lewis
  • Orlando, Florida, USA | April 13, 2009

abstract

Hyperspectral anomaly detector Subspace RX (SSRX), a version of the RX algorithm, has been extensively investigated and its real time implementation performs reasonably well with hyperspectral imagery. However, the problem of false alarms arising at the boundaries between different backgrounds yet needs to be addressed. We consider two paths to the solution: virtual imagery rotation to change the scanning direction and introduction of latency into the data processing. The former approach is based on analysis of the detection result's dependence on the orientation of background boundaries relative to the scanning direction. The latter approach enables incorporation of various background statistics before detection reaches the boundary. Performance of improved SSRX is investigated using collected and simulated hyperspectral imagery.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

A. V. Kanaev ; E. Allman and J. Murray-Krezan
"Reduction of false alarms caused by background boundaries in real time subspace RX anomaly detection", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 733405 (April 27, 2009); doi:10.1117/12.817838; http://dx.doi.org/10.1117/12.817838


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