U.S. Department of Energy Office of Scientific and Technical Information
Title: imageMCR
Software·
OSTI ID:1231484
imageMCR is a user friendly software package that consists of a variety inputs to preprocess and analyze the hyperspectral image data using multivariate algorithms such as Multivariate Curve Resolution (MCR), Principle Component Analysis (PCA), Classical Least Squares (CLS) and Parallel Factor Analysis (PARAFAC). MCR provides a relative quantitative analysis of the hyperspectral image data without the need for standards, and it discovers all the emitting species (spectral pure components) present in an image, even those in which there is no a priori information. Once the spectral components are discovered, these spectral components can be used for future MCR analyses or used with CLS algorithms to quickly extract concentration image maps for each component within spectral image data sets.
To order this software or receive further information, please fill out the following request: Request Software
@misc{osti_1231484,
title = {imageMCR, Version 00},
author = {},
abstractNote = {imageMCR is a user friendly software package that consists of a variety inputs to preprocess and analyze the hyperspectral image data using multivariate algorithms such as Multivariate Curve Resolution (MCR), Principle Component Analysis (PCA), Classical Least Squares (CLS) and Parallel Factor Analysis (PARAFAC). MCR provides a relative quantitative analysis of the hyperspectral image data without the need for standards, and it discovers all the emitting species (spectral pure components) present in an image, even those in which there is no a priori information. Once the spectral components are discovered, these spectral components can be used for future MCR analyses or used with CLS algorithms to quickly extract concentration image maps for each component within spectral image data sets.},
doi = {},
url = {https://www.osti.gov/biblio/1231484},
year = {Tue Sep 27 00:00:00 EDT 2011},
month = {Tue Sep 27 00:00:00 EDT 2011},
note =
}