Journal
NEUROCOMPUTING
Volume 72, Issue 10-12, Pages 2101-2110Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2008.06.025
Keywords
Neural networks: associative memories; Lattice associative memories; Lattice algebra: lattice independence; Hyperspectral image analysis: endmember search; Spectral unmixing; Abundance maps
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We propose a novel method for the autonomous determination of endmembers that employs recent results from the theory of lattice based auto-associative memories. In contrast to several other existing methods, the endmembers determined by the proposed method are physically linked to the data set spectra. Numerical examples are provided to illustrate lattice theoretical concepts and a hyperspectral image subcube, from the Cuprite site in Nevada, is used to find all endmember candidates in a single pass. (C) 2008 Elsevier B.V. All rights reserved.
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