Nonnegative Blind Source Separation for Ill-Conditioned Mixtures via John Ellipsoid.

IEEE Transactions on Neural Networks and Learning Systems(2021)

引用 19|浏览13
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摘要
Nonnegative blind source separation (nBSS) is often a challenging inverse problem, namely, when the mixing system is ill-conditioned. In this work, we focus on an important nBSS instance, known as hyperspectral unmixing (HU) in remote sensing. HU is a matrix factorization problem aimed at factoring the so-called endmember matrix, holding the material hyperspectral signatures, and the abundance mat...
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关键词
Hyperspectral imaging,Ellipsoids,Optimization,Blind source separation,Indexes
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