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B. Somers, G. P. Asner, and L. Tits, Endmember variability in Spectral Mixture Analysis: A review, Remote Sensing of Environment, vol.115, issue.7, pp.1603-1616, 2011.
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J. M. Bioucas-dias, A. Plaza, N. Dobigeon, M. Parente, Q. Du et al., Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, issue.2, pp.354-379, 2012.
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L. Tits, W. Delabastita, B. Somers, J. Farifteh, and P. Coppin, First results of quantifying nonlinear mixing effects in heterogeneous forests: A modeling approach, 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.7185-7188
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B. Somers, K. Cools, S. Delalieux, J. Stuckens, D. V. Der-zande et al., Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards, Remote Sensing of Environment, vol.113, issue.6, pp.1183-1193, 2009.
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B. Somers, L. Tits, and P. Coppin, Quantifying Nonlinear Spectral Mixing in Vegetated Areas: Computer Simulation Model Validation and First Results, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.6, 2014.
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Y. Altmann, N. Dobigeon, and J. Tourneret, Bilinear models for nonlinear unmixing of hyperspectral images, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp.1-4, 2011.
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I. Meganem, P. Déliot, X. Briottet, Y. Deville, and S. Hosseini, Linear–Quadratic Mixing Model for Reflectances in Urban Environments, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.1, pp.544-558, 2014.
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Y. Altmann, A. Halimi, N. Dobigeon, and J. Tourneret, Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery, IEEE Transactions on Image Processing, vol.21, issue.6, pp.3017-3025, 2012.
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O. Eches and M. Guillaume, A Bilinear–Bilinear Nonnegative Matrix Factorization Method for Hyperspectral Unmixing, IEEE Geoscience and Remote Sensing Letters, vol.11, issue.4, pp.778-782, 2014.
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J. M. Nascimento and J. M. Bioucas-dias, Nonlinear mixture model for hyperspectral unmixing, Image and Signal Processing for Remote Sensing XV, p.74770, 2009.
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W. Fan, B. Hu, J. Miller, and M. Li, Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated???forest hyperspectral data, International Journal of Remote Sensing, vol.30, issue.11, pp.2951-2962, 2009.
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A. Halimi, Y. Altmann, N. Dobigeon, and J. Tourneret, Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.11, pp.4153-4162, 2011.
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Y. Altmann, N. Dobigeon, and J. Tourneret, Nonlinearity Detection in Hyperspectral Images Using a Polynomial Post-Nonlinear Mixing Model, IEEE Transactions on Image Processing, vol.22, issue.4, pp.1267-1276, 2013.
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J. Stuckens, B. Somers, S. Delalieux, W. W. Verstraeten, and P. Coppin, The impact of common assumptions on canopy radiative transfer simulations: A case study in Citrus orchards, Journal of Quantitative Spectroscopy and Radiative Transfer, vol.110, issue.1-2, pp.1-21, 2009.
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D. C. Heinz and C. Chang, Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.3, pp.529-545, 2001.
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A. Halimi, Y. Altmann, N. Dobigeon, and J. Tourneret, Unmixing hyperspectral images using the generalized bilinear model, 2011 IEEE International Geoscience and Remote Sensing Symposium, pp.1886-1889, 2011.
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N. Dobigeon, L. Tits, B. Somers, Y. Altmann, and P. Coppin, A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.7, issue.6, 2014.
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