A spectral correction method for multi-scattering effects in close range hyperspectral imagery of vegetation scenes: application to nitrogen content assessment in wheat - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2017

A spectral correction method for multi-scattering effects in close range hyperspectral imagery of vegetation scenes: application to nitrogen content assessment in wheat

Une méthode de correction spectrale des effets des réflexions multiples en imagerie hyperspectrale de proximité des scènes de végétation : application à la mesure de la teneur en azote dans le blé

Abstract

A method able to overcome multiple scattering effects in close range hyperspectral imagery of vegetation scenes is presented. It has been developed using canopy and light propagation simulation tools and evaluated on real crop plants in the context of nitrogen content assessment.
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hal-02606395 , version 1 (16-05-2020)

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Gilles Rabatel, N. Al Makdessi, Martin Ecarnot, Pierre Roumet, James Taylor, et al.. A spectral correction method for multi-scattering effects in close range hyperspectral imagery of vegetation scenes: application to nitrogen content assessment in wheat. ECPA 2017 - 11th European Conference on Precision Agriculture, Jul 2017, Edimbourg, United Kingdom. pp.353-358, ⟨10.1017/S2040470017000164⟩. ⟨hal-02606395⟩
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