Share Email Print

Proceedings Paper

Efficient materials mapping for hyperspectral data
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Hyperspectral data rates and volumes challenge analysis approaches that are not highly automated and efficient. Derived products from hyperspectral data, which are presented in units that are physically meaningful, have added value to analysts who are not spectral or statistical experts. The Efficient Materials Mapping project involves developing an approach that is both efficient in terms of processing time and analyzed data volume and produces outputs in terms of surface chemical or material composition. Our approach will exploit the typical redundancy inherent in hyperspectral data of natural scenes to reduce data volume. This data volume reduction is combined with an automated approach to extract chemical information from spectral data. The results will be a method to produce maps of chemical quantities that can be readily interpreted by analysts specializing in characteristics of terrains and targets rather than photons and spectra.

Paper Details

Date Published: 20 August 2001
PDF: 9 pages
Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); doi: 10.1117/12.437005
Show Author Affiliations
Paul G. Lucey, Univ. of Hawaii/Manoa (United States)
Michael E. Winter, Univ. of Hawaii/Manoa (United States)
Edwin M. Winter, Technical Research Associates, Inc. (United States)
Donovan Steutel, Univ. of Hawaii/Manoa (United States)

Published in SPIE Proceedings Vol. 4381:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII
Sylvia S. Shen; Michael R. Descour, Editor(s)

© SPIE. Terms of Use
Back to Top