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Communication Dans Un Congrès Année : 2011

Unmixing hyperspectral images using the generalized bilinear model

Résumé

Nonlinear models have recently shown interesting properties for spectral unmixing. This paper considers a generalized bilinear model recently introduced for unmixing hyperspectral images. Different algorithms are studied to estimate the parameters of this bilinear model. The positivity and sum-to-one constraints for the abundances are ensured by the proposed algorithms. The performance of the resulting unmixing strategy is evaluated via simulations conducted on synthetic and real data.
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Dates et versions

hal-04241322 , version 1 (13-10-2023)

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Abderrahim Halimi, Yoann Altmann, Nicolas Dobigeon, Jean-Yves Tourneret. Unmixing hyperspectral images using the generalized bilinear model. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2011), IEEE, Jul 2011, Vancouver, Canada. pp.1886--1889, ⟨10.1109/IGARSS.2011.6049492⟩. ⟨hal-04241322⟩
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