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Proceedings Paper

Insights into the matched subspace filter’s detection performance using spectral taggants
Author(s): Lewis E. Reynolds; Tom Baltzer; Wolfgang Kober
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Paper 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.

Paper Details

Date Published: 23 September 2003
PDF: 12 pages
Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); doi: 10.1117/12.487060
Show Author Affiliations
Lewis E. Reynolds, Data Fusion Corp. (United States)
Tom Baltzer, Data Fusion Corp. (United States)
Wolfgang Kober, Data Fusion Corp. (United States)


Published in SPIE Proceedings Vol. 5093:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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