Insights into the matched subspace filter’s detection performance using spectral taggants

Lewis E. Reynolds; Tom Baltzer; Wolfgang Kober

doi:10.1117/12.487060

23 September 2003 Insights into the matched subspace filter’s detection performance using spectral taggants

Lewis E. Reynolds, Tom Baltzer, Wolfgang Kober

Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.487060
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The matched subspace filter (MSF) is a target detection algorithm implemented in Data Fusion Corporation's HYPER-TOOLS, a suite of hyperspectral image analysis tools. This generalized likelihood ratio test is designed to detect target signatures while suppressing known interference signatures in a hyperspectral image. The importance of interference suppression is illustrated in detection performance experiments in which spectral taggant panels are located in hyperspectral reflectance images. The MSF may also be successfully applied to data in which the spectra's continua have been removed in order to isolate spectral absorption features. A connection is established between the detection performance of the MSF and the subspace angle between the target and interference subspaces.

Citation Download Citation

Lewis E. Reynolds, Tom Baltzer, and Wolfgang Kober "Insights into the matched subspace filter’s detection performance using spectral taggants", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); https://doi.org/10.1117/12.487060

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