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Proceedings Paper

Hyperspectral image processing: a direct image simplification method
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Paper Abstract

We describe a novel approach to produce color composite images from hyperspectral data using weighted spectra averages. The weighted average is based on a sequence of numbers (weights) selected using pixel value information and interband distance. Separate sequences of weights are generated for each of the three color bands forming the color composite image. Tuning of the weighting parameters and emphasis on different spectral areas allows for emphasis of one or other feature in the image. The produced image is a distinct approach from a regular color composite result, since all the bands provide information to the final result. The algorithm was implemented in high level programming language and provided with a user friendly graphical interface. The current design allows for stand-alone usage or for further modifications into a real time visualization module. Experimental results show that the weighted color composition is an extremely fast visualization tool.

Paper Details

Date Published: 11 April 2008
PDF: 9 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69661Y (11 April 2008); doi: 10.1117/12.780080
Show Author Affiliations
Christopher A. Neylan, The College of New Jersey (United States)
Tyler Rush, Susquehanna Univ. (United States)
Angel Gutierrez, Montclair State Univ. (United States)
Stefan A. Robila, Montclair State Univ. (United States)

Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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