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

Author Affiliations +

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE