Information theoretic assessment and design of hyperspectral imaging systems with non-uniform bandwidths

L. Cao, S. E. Reichenbach, R. M. Narayanan

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This paper describes a method for assessing the information density and efficiency of hyperspectral imaging systems that have spectral bands of non-uniform width. The information density of the acquired signal is computed as a function of the hyperspectral system design, signal-to-noise ratio, and statistics of the scene radiance. The information efficiency is the ratio of the information density to the data density. The assessment can be used in system design, for example, to determine the number and size of the spectral bands. With this analysis, hyperspectral imaging systems can be tailored for scenes that are non-homogeneous with respect to spectral wavelength. If the scene spectral autocorrelation at each wavelength is different, then the information density at each wavelength is also different, suggesting that the spectral bands should have variable width. Two experiments illustrate the approach, one using a simple model for the scene radiance autocorrelation function and the other using the deterministic autocorrelation function of a hyperspectral image from NASA's Advanced Solid-state Array Spectroradiometer (ASAS). The design with non-uniform bandwidths yields greater information efficiency than an optimal design with uniform bandwidths.

Original languageEnglish (US)
Pages (from-to)72-78
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2001
EventVisual Information Processing X - Orlando,FL, United States
Duration: Apr 19 2001Apr 20 2001


  • Hyperspectral imaging
  • Imaging systems
  • Information theory

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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