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Proceedings Paper

Novel hyperspectral prediction method and apparatus
Author(s): Gabor J. Kemeny; Natalie A. Crothers; Gard A. Groth; Kathy A. Speck; Ralf Marbach
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Paper Abstract

Both the power and the challenge of hyperspectral technologies is the very large amount of data produced by spectral cameras. While off-line methodologies allow the collection of gigabytes of data, extended data analysis sessions are required to convert the data into useful information. In contrast, real-time monitoring, such as on-line process control, requires that compression of spectral data and analysis occur at a sustained full camera data rate. Efficient, high-speed practical methods for calibration and prediction are therefore sought to optimize the value of hyperspectral imaging. A novel method of matched filtering known as science based multivariate calibration (SBC) was developed for hyperspectral calibration. Classical (MLR) and inverse (PLS, PCR) methods are combined by spectroscopically measuring the spectral "signal" and by statistically estimating the spectral "noise." The accuracy of the inverse model is thus combined with the easy interpretability of the classical model. The SBC method is optimized for hyperspectral data in the Hyper-CalTM software used for the present work. The prediction algorithms can then be downloaded into a dedicated FPGA based High-Speed Prediction EngineTM module. Spectral pretreatments and calibration coefficients are stored on interchangeable SD memory cards, and predicted compositions are produced on a USB interface at real-time camera output rates. Applications include minerals, pharmaceuticals, food processing and remote sensing.

Paper Details

Date Published: 28 April 2009
PDF: 8 pages
Proc. SPIE 7319, Next-Generation Spectroscopic Technologies II, 731909 (28 April 2009); doi: 10.1117/12.818955
Show Author Affiliations
Gabor J. Kemeny, Middleton Research (United States)
Natalie A. Crothers, Middleton Research (United States)
Gard A. Groth, Middleton Research (United States)
Kathy A. Speck, Middleton Research (United States)
Ralf Marbach, VTT Optical Instruments (Finland)

Published in SPIE Proceedings Vol. 7319:
Next-Generation Spectroscopic Technologies II
Mark A. Druy; Christopher D. Brown; Richard A. Crocombe, Editor(s)

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