Autonomous single-pass endmember approximation using lattice auto-associative memories

GX Ritter, G Urcid, MS Schmalz - Neurocomputing, 2009 - Elsevier
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 …

A lattice matrix method for hyperspectral image unmixing

GX Ritter, G Urcid - Information Sciences, 2011 - Elsevier
In this manuscript we propose a method for the autonomous determination of endmembers
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 …

Lattice algebra approach to endmember determination in hyperspectral imagery

GX Ritter, G Urcid - Advances in Imaging and Electron Physics, 2010 - Elsevier
Recent advances in the theory of lattice algebra transforms have motivated alternative
developments of nonlinear models and computational techniques for solving pattern …

Generation of lattice independent vector sets for pattern recognition applications

G Urcid-S, JC Valdiviezo-N - Mathematics of Data/Image …, 2007 - spiedigitallibrary.org
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 …

[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 …

[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 …