On the Importance of Non-Gaussianity in Chlorophyll Fluorescence Imaging

On the Importance of Non-Gaussianity in Chlorophyll Fluorescence Imaging

We propose a mathematical study of the statistics of chlorophyll fluorescence indices. While most of the literature assumes Gaussian distributions for these indices, we demonstrate their fundamental non-Gaussian nature. Indeed, while the noise in the raw fluorescence images can be assumed as Gaussia...

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Bibliographic Details
Main Authors: Angelina El Ghaziri, Nizar Bouhlel, Natalia Sapoukhina, David Rousseau
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
<i>Arabidopsis</i>
Bayesian inference
Expectation–Maximization (EM) algorithm
parameter estimation
plant imaging
statistics
Online Access:https://www.mdpi.com/2072-4292/15/2/528

Internet

https://www.mdpi.com/2072-4292/15/2/528

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