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Hyperspectral imagers collect images at a very high spectral resolution in a contiguous region of the electromagnetic spectrum. These signals contain spectral, spatial and, potentially, temporal information about the scene of interest. Different mathematical and physics-based approaches can be used to model these signals providing different insights that can be explored for signal exploitation. In this talk, we will discuss different approaches to model hyperspectral imagery, the image processing algorithms they motivate, and their application in different domains.
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