2 citations · 2 across the 5 of their papers we have counts for
5 papers
Improving Improved Kernel PLS
Ole-Christian Galbo Engstrøm
Improved Kernel Partial Least Squares (IKPLS) algorithms 1 and 2 are among the fastest PLS calibration algorithms. This article focuses on two shared steps, the computation of the…
Near-Infrared Hyperspectral Imaging Applications in Food Analysis -- Improving Algorithms and Methodologies
Ole-Christian Galbo Engstrøm
This thesis investigates the application of near-infrared hyperspectral imaging (NIR-HSI) for food quality analysis. The investigation is conducted through four studies operating w…
A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process
Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen +1
We provide an open-source dataset of RGB and NIR-HSI (near-infrared hyperspectral imaging) images with associated segmentation masks and NIR spectra of 2242 individual malting barl…
Transforming Hyperspectral Images Into Chemical Maps: A Novel End-to-End Deep Learning Approach
Ole-Christian Galbo Engstrøm, Michela Albano-Gaglio, Erik Schou Dreier +4
Current approaches to chemical map generation from hyperspectral images are based on models such as partial least squares (PLS) regression, generating pixel-wise predictions that d…
Analyzing Near-Infrared Hyperspectral Imaging for Protein Content Regression and Grain Variety Classification Using Bulk References and Varying Grain-to-Background Ratios
Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Birthe Møller Jespersen +1
Based on previous work, we assess the use of NIR-HSI images for calibrating models on two datasets, focusing on protein content regression and grain variety classification. Limited…