Development of an invariant display strategy for spectral imagery

J. Scott Tyo; David I. Dierson; Richard Chris Olsen

doi:10.1117/12.406582

15 November 2000 Development of an invariant display strategy for spectral imagery

J. Scott Tyo, David I. Dierson, Richard Chris Olsen

Proceedings Volume 4132, Imaging Spectrometry VI; (2000) https://doi.org/10.1117/12.406582
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

There is currently no standard method to map high-dimensional spectral data into a pseudocolor representation. A number of methods have been developed for particular applications, but the results are often difficult to predict when the strategy is applied in other circumstances. A talented analyst can almost always create a color representation that highlights the specific feature of interest, but there is a need for a default strategy which can provide a reliable first look at the data in an unsupervised manner. In this paper, we introduce a principal components based mapping strategy that is built on the principles of human color vision. Orthogonal image information is mapped into orthogonal color processing channels, providing an ergonomic representation that more closely resembles scenes that human visual systems are trained to process. The specific transformation discussed in this paper is optimized for to the data set analyzed, but it provides a first step in the development of an invariant strategy for initial display of spectral data.

Citation Download Citation

J. Scott Tyo, David I. Dierson, and Richard Chris Olsen "Development of an invariant display strategy for spectral imagery", Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); https://doi.org/10.1117/12.406582

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

Includes PDF, HTML & Video, when available