Information theoretic assessment and design of hyperspectral imaging systems

Stephen E. Reichenbach; Yan Xiong; Ram Mohan Narayanan; Luyin Cao

doi:10.1117/12.354696

21 July 1999 Information theoretic assessment and design of hyperspectral imaging systems

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

Proceedings Volume 3716, Visual Information Processing VIII; (1999) https://doi.org/10.1117/12.354696
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Stephen E. Reichenbach, Yan Xiong, Ram Mohan Narayanan, and Luyin Cao "Information theoretic assessment and design of hyperspectral imaging systems", Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); https://doi.org/10.1117/12.354696

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