Hyperspectral Images: Cubes or Spectra Groups?

While interning at Carnegie Mellon's Vision Science Labs, the author encountered challenges processing hyperspectral images. A graduate student described them as 'cubes' due to their structure: hundreds or thousands of matrices stacked together, resembling a 3D cube. However, at Specere Labs, researchers viewed them as groups of spectra from nearby regions. This highlights the differing perspectives across disciplines and the value of cross-disciplinary work.
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