Paper
27 April 2009 Reduction of false alarms caused by background boundaries in real time subspace RX anomaly detection
A. V. Kanaev, E. Allman, J. Murray-Krezan
Author Affiliations +
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 Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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 (27 April 2009); https://doi.org/10.1117/12.817838
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Sensors

Hyperspectral imaging

Detection and tracking algorithms

Hyperspectral simulation

Target detection

Data processing

Computer simulations

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