8 August 2012 Continuum fusion methods of spectral detection
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Abstract
The continuum fusion (CF) methodology produces new classes of multivariate detection algorithms, some of which have been used in spectral applications. CF principles apply to model-based problems in which not all parameter values are known, a common circumstance in hyperspectral operations. We reviewed the principal theoretical and applied CF results devised to date, summarized recent experimental results, and discussed in detail an important class of algorithms that illustrate the design freedom CF affords. Finally, we reviewed the fundamental CF principles as applied to a new category of model parameters only recently considered, involving a distinction in the form of a constraint that is not recognized by older methods.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Alan P. Schaum and Brian J. Daniel "Continuum fusion methods of spectral detection," Optical Engineering 51(11), 111718 (8 August 2012). https://doi.org/10.1117/1.OE.51.11.111718
Published: 8 August 2012
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CITATIONS
Cited by 21 scholarly publications.
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KEYWORDS
Sensors

Target detection

Detection and tracking algorithms

Data modeling

Lawrencium

Affine motion model

Optical engineering

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