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Article

Correlations in Joint Spectral and Polarization Imaging

1
Institut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace, F-68100 Mulhouse, France
2
Department of Computer Science, Norwegian University of Science and Technology, 2806 Gjøvik, Norway
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(1), 6; https://doi.org/10.3390/s21010006
Received: 3 December 2020 / Revised: 16 December 2020 / Accepted: 18 December 2020 / Published: 22 December 2020
(This article belongs to the Special Issue Recent Advances in Multi- and Hyperspectral Image Analysis)
Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels. View Full-Text
Keywords: spectral imaging; polarization imaging; data analysis; correlation analysis spectral imaging; polarization imaging; data analysis; correlation analysis
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MDPI and ACS Style

Courtier, G.; Lapray, P.-J.; Thomas, J.-B.; Farup, I. Correlations in Joint Spectral and Polarization Imaging. Sensors 2021, 21, 6. https://doi.org/10.3390/s21010006

AMA Style

Courtier G, Lapray P-J, Thomas J-B, Farup I. Correlations in Joint Spectral and Polarization Imaging. Sensors. 2021; 21(1):6. https://doi.org/10.3390/s21010006

Chicago/Turabian Style

Courtier, Guillaume, Pierre-Jean Lapray, Jean-Baptiste Thomas, and Ivar Farup. 2021. "Correlations in Joint Spectral and Polarization Imaging" Sensors 21, no. 1: 6. https://doi.org/10.3390/s21010006

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