Efficient materials mapping for hyperspectral data

Paul G. Lucey; Michael E. Winter; Edwin M. Winter; Donovan Steutel

doi:10.1117/12.437005

20 August 2001 Efficient materials mapping for hyperspectral data

Paul G. Lucey, Michael E. Winter, Edwin M. Winter, Donovan Steutel

Proceedings Volume 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII; (2001) https://doi.org/10.1117/12.437005
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Paul G. Lucey, Michael E. Winter, Edwin M. Winter, and Donovan Steutel "Efficient materials mapping for hyperspectral data", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); https://doi.org/10.1117/12.437005

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