Unmixing K-Gaussians With Application to Hyperspectral Imaging

Yonatan Woodbridge, Uri Okun,Gal Elidan,Ami Wiesel

IEEE Transactions on Geoscience and Remote Sensing（2019）

引用 8|浏览30

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摘要

In this paper, we consider the parameter estimation of K-Gaussians, given convex combinations of their realizations. In the remote sensing literature, this setting is known as the normal compositional model (NCM) and has shown promising gains in modeling hyperspectral images. Current NCM parameter estimation techniques are based on Bayesian methodology and are computationally slow and sensitive to...

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关键词

Hyperspectral imaging,Stochastic processes,Covariance matrices,Computational modeling,Estimation,Bayes methods

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