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Unsupervised Spectral Mixture Analysis of Highly Mixed Data With Hopfield Neural Network

contributor authorShaohui Mei
contributor authorMingyi He
contributor authorZhiyong Wang
contributor authorFeng, David Dagan
date accessioned2020-03-12T18:28:35Z
date available2020-03-12T18:28:35Z
date issued2014
identifier issn1939-1404
identifier other6606813.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/959772?show=full
formatgeneral
languageEnglish
publisherIEEE
titleUnsupervised Spectral Mixture Analysis of Highly Mixed Data With Hopfield Neural Network
typeJournal Paper
contenttypeMetadata Only
identifier padid7992376
subject keywordsgeophysics computing
subject keywordsremote sensing
subject keywordsHNN based algorithms
subject keywordsHopfield neural network
subject keywordsMDC-NMF
subject keywordsMewDC-NMF
subject keywordsMiniDisCo-NMF
subject keywordsMinimum Dispersion Constrained NMF
subject keywordsMinimum Distance Constrained NMF
subject keywordsMinimum endmember-wise Distance Constrained NMF
subject keywordsNonnegative Matrix Factorization
subject keywordsProjected Gradient
subject keywordsabundance estimation
subject keywordsendmember extraction
subject keywordshighly mixed data
subject keywordshyperspectral remote sensing technology
subject keywordsmultiplicative updating procedure
subject keywordspure ground object spectrum
subject keywordssecond-order constrained model
subject keywordsspectra
identifier doi10.1109/JSTARS.2013.2281414
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue6
filesize2745442
citations0


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