Multivariate Image Regression (MIR) for Quantitative Predictions. Prototype Software Implementation and Selected Industrial-Technological Pilot Studies
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In large and important sectors of modern production, there is an increased demand for on-line or at-line information. Both consumers and governmental regulations require that producers can document the quality of their products. The more precise measurements can be, the more potentially valuable they are for the producers in their endeavours to fulfil these demands.
Består avLied, Thorbjørn T.; Geladi, Paul; Esbensen, Kim H.. Multivariate Image Regression (MIR) implementation of image PLSR - first forays. Journal of Chemometrics. 14: 585-598, 2000.
Lied, Thorbjørn T.; Esbensen, Kim H.. Principles of MIR, Multivariate Image Regression I: regression typology and represenative application studies. Chemometrics and Intelligent Laboratory Systems. 58(2): 213-226, 2001.