3 papers
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…
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…
Challenges in explaining deep learning models for data with biological variation
Lenka TÄtková, Erik Schou Dreier, Robin Malm +1
Much machine learning research progress is based on developing models and evaluating them on a benchmark dataset (e.g., ImageNet for images). However, applying such benchmark-succe…