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In their paper, Gaoestimate the additive noise in hyperspectral images by computing the standard deviation of regression residuals. They perform multiple linear regression within spectrally homogeneous regions, which they obtain by means of an “object-seeking” algorithm. This letter shows that the segmentation algorithm is not correct, discusses how this affects the noise estimate, and proposes a correct algorithm that, additionally, decreases the computational load of the method.
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Julio Martín-Herrero (2008) studied this question.
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