Hyperspectral detection algorithms: Use covariances or subspaces?

There are two broad classes of hyperspectral detection algorithms.1, 2 Algorithms in the first class use the spectral covariance matrix of the background clutter; in contrast, algorithms in the second class characterize the background using a subspace model. In this paper we show that, due to the na...

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Bibliographic Details
Main Authors: Manolakis, Dimitris G. (Contributor), Lockwood, Ronald B. (Contributor), Cooley, T. (Author), Jacobson, J. (Author)
Other Authors: Lincoln Laboratory (Contributor)
Format: Article
Language:English
Published: Society of Photo-optical Instrumentation Engineers, 2010-03-18T20:33:13Z.
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