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Mean squared error (MSE) is commonly used for evaluating the performance of hyperspectral imaging (HSI) methods. MSE depends on the true (unknown) signal to be estimated and is therefore not computable for real data. Therefore, HSI methods are usually evaluated using simulated data. Stein's unbiased risk estimator (SURE) is an unbiased estimator of the MSE that does not require knowledge of the true...
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