Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing

4 Feb 2016Fei ZhuAbderrahim HalimiPaul HoneineBadong ChenNanning Zheng

In hyperspectral images, some spectral bands suffer from low signal-to-noise ratio due to noisy acquisition and atmospheric effects, thus requiring robust techniques for the unmixing problem. This paper presents a robust supervised spectral unmixing approach for hyperspectral images... (read more)

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