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<title>Information theoretic assessment and design of hyperspectral imaging systems</title>

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIEPublished 21 July 1999
Stephen E. Reichenbach, Yan Xiong, Ram M. Narayanan, Luyin Cao
Citations3
SJR score0.15
SNIP0.20

TL;DR

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.

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.

Keywords

EngineeringPhysics and Astronomy