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Proceedings Paper

Observations on the relationship between eigenvalues, instrument noise, and detection performance
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Paper Abstract

Hyperspectral data rarely spans the full band space because of factors such as sensor noise, numerical round-off, sparse sampling, and band correlation introduced by data processing. Standard exploitation of data, which often does not consider the possibility of a reduced band space, leads to reduced detection performance. Spectral signature detection performance can be improved by estimating the covariance on a subset of the band space components. The decision about how to limit the band space can be determined by factors such as in-scene estimation of noise. In-scene estimation of noise can be used to optimize spectral signature detection when spectral filtering methods based on covariance inverses are used. We present here a method for determining instrument noise and a new method of covariance inverse regularization which increases spectral filtering performance.

Paper Details

Date Published: 8 November 2002
PDF: 8 pages
Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002); doi: 10.1117/12.453777
Show Author Affiliations
Andreas F. Hayden, Veridian Corp. (United States)
David R. Twede, Veridian Corp. (United States)


Published in SPIE Proceedings Vol. 4816:
Imaging Spectrometry VIII
Sylvia S. Shen, Editor(s)

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