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Autonomous single-pass endmember approximation using lattice auto-associative memories
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 …
recent results from the theory of lattice based auto-associative memories. In contrast to …
A lattice matrix method for hyperspectral image unmixing
In this manuscript we propose a method for the autonomous determination of endmembers
in hyperspectral imagery based on recent theoretical advancements on lattice auto …
in hyperspectral imagery based on recent theoretical advancements on lattice auto …
[SÁCH][B] Hyperspectral endmember detection and band selection using Bayesian methods
A Zare - 2008 - search.proquest.com
Four methods of endmember detection and spectral unmixing are described. The methods
determine endmembers and perform spectral unmixing while simultaneously determining …
determine endmembers and perform spectral unmixing while simultaneously determining …
Lattice algebra approach to endmember determination in hyperspectral imagery
Recent advances in the theory of lattice algebra transforms have motivated alternative
developments of nonlinear models and computational techniques for solving pattern …
developments of nonlinear models and computational techniques for solving pattern …
Generation of lattice independent vector sets for pattern recognition applications
Lattice independence and strong lattice independence of a set of pattern vectors are
fundamental mathematical properties that lie at the core of pattern recognition applications …
fundamental mathematical properties that lie at the core of pattern recognition applications …
[PDF][PDF] Segmentación de imágenes hiperespectrales usando memorias asociativas morfológicas
JCV Navarro - Tonantzintla, Puebla: INAOE, 2007 - inaoe.repositorioinstitucional.mx
The advances in image spectroscopy have been applied for Earth observation at different
wavelengths of the electromagnetic spectrum using aircrafts or satellite systems. This new …
wavelengths of the electromagnetic spectrum using aircrafts or satellite systems. This new …
[PDF][PDF] HYPERSPECTRAL ENDMEMBER EXTRACTION AND SIGNATURE CLASSIFICATION WITH MORPHOLOGIAL NETWORKS
MSSGX Ritter - researchgate.net
Accurate multispectral or hyperspectral signature classification is key to the nonimaging
detection and recognition of space objects. In imaging applications, signature classification …
detection and recognition of space objects. In imaging applications, signature classification …