articleIEEE Signal Processing MagazineJan 1, 2002Closed access

Hyperspectral image data analysis

Purdue University West Lafayette

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Abstract

The fundamental basis for space-based remote sensing is that information is potentially available from the electromagnetic energy field arising from the Earth's surface and, in particular, from the spatial, spectral, and temporal variations in that field. Rather than focusing on the spatial variations, which imagery perhaps best conveys, why not move on to look at how the spectral variations might be used. The idea was to enlarge the size of a pixel until it includes an area that is characteristic from a spectral response standpoint for the surface cover to be discriminated. The article includes an example of an image space representation, using three bands to simulate a color IR photograph of an airborne…

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Topics & keywords

Keywords
  • Hyperspectral imaging
  • Remote sensing
  • Pixel
  • Computer science
  • Full spectral imaging
  • Data set
  • Basis (linear algebra)
  • Representation (politics)
UN Sustainable Development Goals
  • Reduced inequalities
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