Nonlinear Unmixing of Hyperspectral Images
Nonlinear Unmixing of Hyperspectral Images
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DOI：
10.1109/msp.2013.2279274
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发表时间：
2014-01-01
影响因子：
14.9
通讯作者：
Hero, Alfred O.
中科院分区：
文献类型：
--
作者：
Dobigeon, Nicolas;Tourneret, Jean-Yves;Hero, Alfred O.
在考虑解混合高光谱图像的问题时，地球科学和图像处理领域的大多数文献都依赖于广泛使用的线性混合模型（LMM）。然而，LMM 可能无效，需要考虑其他非线性模型，例如，当存在多重散射效应或密切相互作用时。因此，在过去的几年里，人们提出了一些重要的贡献来克服 LMM 固有的局限性。在本文中，我们概述了非线性解混合建模的最新进展。
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.