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This paper addresses the problem of anomaly detection in hyperspectral images. We propose and exploit a data model to establish the link between two main approaches in the area of anomaly detection, which are the hypothesis testing (HT) and projection pursuit. We show that combining these two approaches enables one to overcome some limitations of each method when taken separately. Indeed, the resulting...
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