We develop Adaptive Cosine Estimator (ACE) type detector for non-zero mean Gaussian interference specifically for the replacement and additive target models of the hyperspectral imaging problem. We consider the case where the data under test and the training samples differ from one scaling factor on the mean and one scaling factor on the covariance matrix. We derive two-step generalized likelihood ratio tests for both the additive model and the replacement model and show that the new detectors differ in the way the mean value is removed. A real data experiment shows that they outperform the standard version.

中文翻译：

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非零均值自适应余弦估计器及其在高光谱成像中的应用

我们开发了自适应余弦估计器 (ACE) 类型的检测器，用于非零均值高斯干涉，专门用于高光谱成像问题的替换和附加目标模型。我们考虑被测数据和训练样本不同于均值上的一个缩放因子和协方差矩阵上的一个缩放因子的情况。我们为加性模型和替换模型推导出两步广义似然比检验，并表明新检测器在去除平均值的方式上有所不同。一个真实的数据实验表明，它们的性能优于标准版本。