2 papers
cs.CV2025
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…
cs.CV2025
A MATLAB tutorial on deep feature extraction combined with chemometrics for analytical applications
Puneet Mishra, Martijntje Vollebregt, Yizhou Ma +1
Background In analytical chemistry, spatial information about materials is commonly captured through imaging techniques, such as traditional color cameras or with advanced hyperspe…