DISCRETE WAVELET TRANSFORMS and HYPERSPECTRAL IMAGING

Information efficiency in hyperspectral imaging systems

[+] Author Affiliations
Stephen E. Reichenbach

University of Nebraska–Lincoln, Computer Science and Engineering Department, Lincoln, Nebraska 68588 E-mail: reich@unl.edu

Luyin Cao

Lattice Semiconductor Corporation, Colorado Springs, Colorado 80919

Ram M. Narayanan

University of Nebraska–Lincoln, Electrical Engineering Department, Lincoln, Nebraska 68588

J. Electron. Imaging. 11(3), 347-353 (Jul 01, 2002). doi:10.1117/1.1482097
History: Received May 11, 2001; Revised Jan. 17, 2002; Accepted Feb. 22, 2002; Online July 25, 2002
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In this work we develop a method for assessing the information density and efficiency of hyperspectral imaging systems that have spectral bands of nonuniform width. Imaging system designs with spectral bands of nonuniform width can efficiently gather information about a scene by allocating bandwidth among the bands according to their information content. The information efficiency is the ratio of information density to data density and is a function of the scene’s spectral radiance, hyperspectral system design, and signal-to-noise ratio. The assessment can be used to produce an efficient system design. For example, one approach to determining the number and width of the spectral bands for an information-efficient design is to begin with a design that has a single band and then to iteratively divide a band into two bands until no further division improves the system’s efficiency. Two experiments illustrate this approach, one using a simple mathematical model for the scene spectral-radiance autocorrelation function and the other using the deterministic spectral-radiance autocorrelation function of a hyperspectral image from NASA’s Advanced Solid-State Array Spectroradiometer. The approach could be used either to determine a fixed system design or to dynamically control a system with variable-width spectral bands (e.g., using on-board processing in a satellite system). © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Stephen E. Reichenbach ; Luyin Cao and Ram M. Narayanan
"Information efficiency in hyperspectral imaging systems", J. Electron. Imaging. 11(3), 347-353 (Jul 01, 2002). ; http://dx.doi.org/10.1117/1.1482097


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