Information theoretic assessment and design of hyperspectral imaging systems

Stephen E. Reichenbach, Yan Xiong, Ram Narayanan, Luyin Cao

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


This paper describes a method for assessing the information density and efficiency of hyperspectral imaging systems. The approach computes the information density of the acquired signal as a function of the hyperspectral system design, signal-to-noise ratio, and statistics of the scene radiance. Information efficiency is the ratio of the information density to the data density. The assessment can be used in system design - for example, to optimize information efficiency with respect to the number of spectral bands. Experimental results illustrate that information efficiency exhibits a single distinct maximum as a function of the number of spectral bands, indicating the design with peak information efficiency.

Original languageEnglish (US)
Pages (from-to)100-104
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 1999
EventProceedings of the 1999 Visual Information Processing VIII - Orlando, FL, USA
Duration: Apr 6 1999Apr 6 1999

All Science Journal Classification (ASJC) codes

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


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