Information theoretic assessment and design of hyperspectral imaging systems with nonuniform bandwidths

Luyin Cao; Stephen E. Reichenbach; Ram Mohan Narayanan

doi:10.1117/12.438243

28 August 2001 Information theoretic assessment and design of hyperspectral imaging systems with nonuniform bandwidths

Luyin Cao, Stephen E. Reichenbach, Ram Mohan Narayanan

Proceedings Volume 4388, Visual Information Processing X; (2001) https://doi.org/10.1117/12.438243
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Luyin Cao, Stephen E. Reichenbach, and Ram Mohan Narayanan "Information theoretic assessment and design of hyperspectral imaging systems with nonuniform bandwidths", Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); https://doi.org/10.1117/12.438243

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