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Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms
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BibTeX
@MISC{Dobigeon_nonlinearunmixing,
author = {Nicolas Dobigeon and Jean-yves Tourneret and Cédric Richard and José C. M. Bermudez and Stephen Mclaughlin and Alfred O. Hero},
title = {Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms},
year = {}
}
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Abstract
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 multi-scattering 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 paper, we present an overview of recent advances in nonlinear unmixing modeling.
Keyphrases
model algorithm nonlinear unmixing hyperspectral image planetary science chemometrics nonlinear model intimate interaction nonlinear unmixing modeling hyperspectral image remote sensing material science recent advance multi-scattering effect image processing area relies several significant contribution limitation inherent nonlinear model spectral unmixing hyperspectral data last year
