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Proceedings Paper

Information theoretic assessment and design of hyperspectral imaging systems
Author(s): Stephen E. Reichenbach; Yan Xiong; Ram Mohan Narayanan; Luyin Cao
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Paper Abstract

This paper describes a method for assessing the information density and efficiency of hyperspectral imaging system. 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.

Paper Details

Date Published: 21 July 1999
PDF: 5 pages
Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); doi: 10.1117/12.354696
Show Author Affiliations
Stephen E. Reichenbach, Univ. of Nebraska/Lincoln (United States)
Yan Xiong, Univ. of Nebraska/Lincoln (United States)
Ram Mohan Narayanan, Univ. of Nebraska/Lincoln (United States)
Luyin Cao, Univ. of Nebraska/Lincoln (United States)

Published in SPIE Proceedings Vol. 3716:
Visual Information Processing VIII
Stephen K. Park; Richard D. Juday, Editor(s)

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