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Autonomous single-pass endmember approximation using lattice auto-associative memories
GONZALO JORGE URCID SERRANO
Acceso Abierto
Atribución-NoComercial-SinDerivadas
Neural networks: associative memories
Lattice associative memories
Lattice algebra: lattice independence
Hyperspectral image analysis: endmember search
Spectral unmixing
Abundance maps
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.
Neurocomputing
2009
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Ritter, Gerhard X., et al., (2009). Autonomous single-pass endmember approximation using lattice auto-associative memories, Neurocomputing. Vol.72(10-12):2101-2110
ÓPTICA
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acceptedVersion - Versión aceptada
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