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Ines Meganem
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2010 – 2019
- 2017
- [c6]Moussa Sofiane Karoui, Shahram Hosseini, Yannick Deville, Abdelaziz Ouamri, Ines Meganem:
Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data. ICASSP 2017: 1572-1576 - 2014
- [j2]Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini:
Linear-Quadratic Mixing Model for Reflectances in Urban Environments. IEEE Trans. Geosci. Remote. Sens. 52(1): 544-558 (2014) - [j1]Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet:
Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images. IEEE Trans. Signal Process. 62(7): 1822-1833 (2014) - 2013
- [c5]Ines Meganem, Shahram Hosseini, Yannick Deville:
Positivity-based separation of stellar spectra using a parametric mixing model. EUSIPCO 2013: 1-5 - 2011
- [c4]Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet, Leonardo Tomazeli Duarte:
Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. EUSIPCO 2011: 1859-1863 - [c3]Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini:
Physical modelling and non-linear unmixing method for urban hyperspectral images. WHISPERS 2011: 1-4 - [c2]Ines Meganem, Yannick Deville, Shahram Hosseini, Hervé Carfantan, Moussa Sofiane Karoui:
Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization. WHISPERS 2011: 1-4 - 2010
- [c1]Ines Meganem, Yannick Deville, Matthieu Puigt:
Blind Separation methods based on correlation for sparse possibly-correlated images. ICASSP 2010: 1334-1337
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