Jean Abou Melhem

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Hyperspectral images are characterized by their large contiguous set of wavelengths. Therefore, it is possible to benefit from this `hyper' spectral information in order to reduce the classification and unmixing errors. For this reason, we propose new classification and unmixing techniques that take into account the correlation between successive spectral(More)
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