Unsupervised Spectral Mixture Analysis of Highly Mixed Data With Hopfield Neural Network
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Year
: 2014DOI: 10.1109/JSTARS.2013.2281414
Keyword(s): geophysics computing,remote sensing,HNN based algorithms,Hopfield neural network,MDC-NMF,MewDC-NMF,MiniDisCo-NMF,Minimum Dispersion Constrained NMF,Minimum Distance Constrained NMF,Minimum endmember-wise Distance Constrained NMF,Nonnegative Matrix Factorization,Projected Gradient,abundance estimation,endmember extraction,highly mixed data,hyperspectral remote sensing technology,multiplicative updating procedure,pure ground object spectrum,second-order constrained model,spectra
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Unsupervised Spectral Mixture Analysis of Highly Mixed Data With Hopfield Neural Network
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| contributor author | Shaohui Mei | |
| contributor author | Mingyi He | |
| contributor author | Zhiyong Wang | |
| contributor author | Feng, David Dagan | |
| date accessioned | 2020-03-12T18:28:35Z | |
| date available | 2020-03-12T18:28:35Z | |
| date issued | 2014 | |
| identifier issn | 1939-1404 | |
| identifier other | 6606813.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/959772 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Unsupervised Spectral Mixture Analysis of Highly Mixed Data With Hopfield Neural Network | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7992376 | |
| subject keywords | geophysics computing | |
| subject keywords | remote sensing | |
| subject keywords | HNN based algorithms | |
| subject keywords | Hopfield neural network | |
| subject keywords | MDC-NMF | |
| subject keywords | MewDC-NMF | |
| subject keywords | MiniDisCo-NMF | |
| subject keywords | Minimum Dispersion Constrained NMF | |
| subject keywords | Minimum Distance Constrained NMF | |
| subject keywords | Minimum endmember-wise Distance Constrained NMF | |
| subject keywords | Nonnegative Matrix Factorization | |
| subject keywords | Projected Gradient | |
| subject keywords | abundance estimation | |
| subject keywords | endmember extraction | |
| subject keywords | highly mixed data | |
| subject keywords | hyperspectral remote sensing technology | |
| subject keywords | multiplicative updating procedure | |
| subject keywords | pure ground object spectrum | |
| subject keywords | second-order constrained model | |
| subject keywords | spectra | |
| identifier doi | 10.1109/JSTARS.2013.2281414 | |
| journal title | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of | |
| journal volume | 7 | |
| journal issue | 6 | |
| filesize | 2745442 | |
| citations | 0 |