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. ,
DOI : 10.1109/JSTARS.2012.2194696
URL : https://hal.archives-ouvertes.fr/hal-00760787
Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards, Remote Sensing of Environment, vol.113, issue.6, pp.1183-1193, 2009. ,
DOI : 10.1016/j.rse.2009.02.003
Nonlinear mixture model for hyperspectral unmixing, Image and Signal Processing for Remote Sensing XV, p.74770, 2009. ,
DOI : 10.1117/12.830492
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. ,
DOI : 10.1029/91JE03117
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. ,
DOI : 10.1109/TGRS.2010.2098414
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. ,
DOI : 10.1109/TIP.2012.2187668
Handbook of Markov Chain Monte Carlo, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 2011. ,
Cruising The Simplex: Hamiltonian Monte Carlo and the Dirichlet Distribution ArXiv e-prints, 2010. ,
Non-Linear Spectral Unmixing by Geodesic Simplex Volume Maximization, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.3, pp.534-542, 2011. ,
DOI : 10.1109/JSTSP.2010.2088377
Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery, IEEE Transactions on Signal Processing, vol.57, issue.11, pp.2657-2669, 2009. ,
DOI : 10.1109/TSP.2009.2025797
URL : https://hal.archives-ouvertes.fr/hal-00548758
Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model, Tech. Rep, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01239743
Monte Carlo Statistical Methods, 2004. ,
Convergence Control of MCMC Algorithms, pp.27-46, 1998. ,
DOI : 10.1007/978-1-4612-1716-9_2
Fast autonomous spectral end-member determination in hyperspectral data, Proc. 13th Int. Conf. on Applied Geologic Remote Sensing, pp.337-344, 1999. ,
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. ,
DOI : 10.1109/36.911111