When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM). However, the LMM may be not valid, and other nonlinear models need to be considered, for instance, when there are multiscattering effects or intimate interactions. Consequently, over the last few years, several significant contributions have been proposed to overcome the limitations inherent in the LMM. In this article, we present an overview of recent advances in nonlinear unmixing modeling

Bermudez, José Carlos Moreira

Dobigeon, Nicolas

Hero, Alfred O.

McLaughlin, Steve

Richard, Cédric

Tourneret, Jean-Yves

English

arXiv

Open Archive Toulouse Archive Ouverte

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Nonlinear unmixing of hyperspectral images: Models and algorithms

International audienceWhen considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM). However, the LMM may be not valid, and other nonlinear models need to be considered, for instance, when there are multiscattering effects or intimate interactions. Consequently, over the last few years, several significant contributions have been proposed to overcome the limitations inherent in the LMM. In this article, we present an overview of recent advances in nonlinear unmixing modeling

Bermudez, José Carlos M.

Mclaughlin, Steve

HAL Descartes

HAL-INSU

Scientific Publications of the University of Toulouse II Le Mirail

HAL-UNICE

Bermudez, José Carlos M

McLaughlin, Stephen

Hero, Alfred O

Heriot Watt Pure

Nonlinear unmixing of hyperspectral images: models and algorithms

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.428.5683

Nonlinear unmixing of hyperspectral images: Models and algorithms

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Open Archive Toulouse Archive Ouverte

HAL Descartes

HAL-INSU

Scientific Publications of the University of Toulouse II Le Mirail

HAL-UNICE

Heriot Watt Pure

Heriot Watt Pure