Superspectral imaging is a type of spectral imaging defined by the number and width of the spectral bands. It also is written as "super-spectral". Superspectral imaging is typically defined as more than 10 spectral bands, with some being narrower than their counterparts in multispectral imaging.[1] The larger number of bands and narrower bandwidths enable finer characterization of target spectral characteristics than multispectral imaging.[1] Hyperspectral imaging describes yet higher spectral resolution, with hundreds of very narrow contiguous spectral bands.
Examples of superspectral imaging satellites include:
References
edit- ^ a b "Optical Remote Sensing Tutorial". CRISP, National University of Singapore. Retrieved 12 December 2013.