Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding
- 1Univ. Lille, CNRS, LASIRE (UMR 8516), Laboratoire Avancé de Spectroscopie pour les Interactions, la Réactivité et l’Environnement, Lille, France
- 2Faculty of Science and Technology, Norwegian University of Life Sciences, Oslo, Norway
- 3Idletechs AS, Trondheim, Norway
- 4Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway
A Corrigendum on
Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding
by Vitale, R., Ruckebusch, C., Burud, I., and Martens, H. (2022). Front. Chem. 10:818974. doi:10.3389/fchem. 2022.818974
In the original article, there was an error in Figure 10B and its caption on page 13. The initial frame of the hyperspectral video at hand was mistakenly labelled. The correct version of Figure 10B with its new caption appears below.
FIGURE 10. (A) Representation of the frame-averaged motion-compensated data, frame-averaged data reconstructed after the IDLE, EMSC and OTFP analysis and reconstruction residuals. (B) Two-dimensional scores plot resulting from a PCA decomposition of the (pathlength-corrected) frame-averaged reconstructed data. Archetypal frames are highlighted in light grey and connected by a dashed-dotted grey line. The evolution of the scores from right to left follows the hyperspectral video progression from its beginning to its end. (C) First and (D) second component loadings yielded by the aforementioned PCA decomposition. PC and EV stand for Principal Component and Explained Variance, respectively.
The authors apologize for this error and state that this does not change the scientific conclusions of the manuscript in any way.
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Keywords: hyperspectral videos, motion compensation, IDLE modelling, light scattering, light absorption, extended multiplicative signal correction, on-the-fly processing, BIG measurement DATA
Citation: Vitale R, Ruckebusch C, Burud I and Martens H (2022) Corrigendum: Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding. Front. Chem. 10:926330. doi: 10.3389/fchem.2022.926330
Received: 22 April 2022; Accepted: 25 April 2022;
Published: 18 May 2022.
Edited and reviewed by:
Paolo Oliveri, University of Genoa, ItalyCopyright © 2022 Vitale, Ruckebusch, Burud and Martens. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Raffaele Vitale, cmFmZmFlbGUudml0YWxlQHVuaXYtbGlsbGUuZnI=